Indian_English_news(2023)_Analysis_and_Classification.ipynb

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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import string\n",
        "from nltk.corpus import stopwords\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "import sklearn.model_selection as ms\n",
        "from sklearn.model_selection import train_test_split, cross_val_score\n",
        "import os\n",
        "from itertools import cycle\n",
        "from textblob import TextBlob\n",
        "from nltk.stem import PorterStemmer\n",
        "from textblob import Word\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn import preprocessing, linear_model, metrics, datasets, multiclass, svm\n",
        "import seaborn as sns\n",
        "import numpy.random as nr"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
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          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import nltk\n",
        "nltk.download(\"stopwords\")"
      ],
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        },
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          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ]
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    {
      "cell_type": "code",
      "source": [
        "import json\n",
        "import re\n",
        "from nltk.corpus import stopwords\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "from keras.preprocessing.text import Tokenizer\n",
        "from keras.preprocessing.sequence import pad_sequences\n",
        "from keras.utils import to_categorical\n",
        "from keras import regularizers\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n",
        "from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer\n",
        "from sklearn.naive_bayes import MultinomialNB\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.linear_model import SGDClassifier\n",
        "\n",
        "\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Embedding\n",
        "from keras.layers import Flatten, Dense, Dropout\n",
        "from keras.layers import SimpleRNN\n",
        "from keras.layers import LSTM\n",
        "\n",
        "pd.set_option('display.max_colwidth', 200)"
      ],
      "metadata": {
        "id": "eprmnA_1PXVl"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import csv\n",
        "\n",
        "news_text = []\n",
        "news_label = []\n",
        "\n",
        "# Open the CSV file and read its contents\n",
        "with open('/content/drive/MyDrive/Mentorness_Intern/english_news_dataset.csv', 'r', newline='') as file:\n",
        "    reader = csv.DictReader(file)\n",
        "\n",
        "    # Iterate over each row in the CSV file\n",
        "    for row in reader:\n",
        "        # Extract data from columns\n",
        "        headline = row['Headline']\n",
        "        content = row['Content']\n",
        "        category = row['News Categories']\n",
        "\n",
        "        # Append the extracted data to the respective lists\n",
        "        news_label.append(category)\n",
        "        news_text.append(headline + ' ' + content)\n",
        "\n",
        "# Check the lengths of the lists\n",
        "print(len(news_label), len(news_text))\n"
      ],
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      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "199706 199706\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "news_df = pd.DataFrame({'Headline': news_text, 'News Categories': news_label})\n",
        "print(news_df.head())\n",
        "\n",
        "# Save the DataFrame to a new CSV file\n",
        "news_df.to_csv('/content/drive/MyDrive/Mentorness_Intern/processed_news_dataset.csv', index=False)\n"
      ],
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      },
      "execution_count": 12,
      "outputs": [
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          "name": "stdout",
          "text": [
            "                                                                                                                                                                                                  Headline  \\\n",
            "0  Congress leader Baljinder Singh shot dead at home in Punjab's Moga Congress leader Baljinder Singh was shot dead at his house in Punjab's Moga on Monday, a video of which has also surfaced online....   \n",
            "1  17-year-old girl preparing for NEET dies by suicide in Rajasthan's Kota Another NEET aspirant died by suicide in Rajasthan's Kota on Monday, taking the number of student suicides this year to arou...   \n",
            "2  Hampers to welcome MPs in new Parliament tomorrow, pics surface In order to mark the first-ever working day of the new Parliament building, Members of Parliament will receive a copy of the Constit...   \n",
            "3  Only 10% women lawmakers in RS, while only 14% in LS: INC's Kharge Congress President Mallikarjun Kharge, while speaking in the Rajya Sabha, said, \"Women Reservation Bill should come. We all tried...   \n",
            "4  Ganesh temple decorated with notes, coins worth ₹2.5 crore in Bengaluru The Sri Sathya Ganapathi Temple in Bengaluru adorned its premises and idols with Indian currency notes and coins worth ₹2.5 ...   \n",
            "\n",
            "  News Categories  \n",
            "0    ['national']  \n",
            "1    ['national']  \n",
            "2    ['national']  \n",
            "3    ['national']  \n",
            "4    ['national']  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "news_df.head()"
      ],
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      "execution_count": 13,
      "outputs": [
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              "                                                                                                                                                                                                  Headline  \\\n",
              "0  Congress leader Baljinder Singh shot dead at home in Punjab's Moga Congress leader Baljinder Singh was shot dead at his house in Punjab's Moga on Monday, a video of which has also surfaced online....   \n",
              "1  17-year-old girl preparing for NEET dies by suicide in Rajasthan's Kota Another NEET aspirant died by suicide in Rajasthan's Kota on Monday, taking the number of student suicides this year to arou...   \n",
              "2  Hampers to welcome MPs in new Parliament tomorrow, pics surface In order to mark the first-ever working day of the new Parliament building, Members of Parliament will receive a copy of the Constit...   \n",
              "3  Only 10% women lawmakers in RS, while only 14% in LS: INC's Kharge Congress President Mallikarjun Kharge, while speaking in the Rajya Sabha, said, \"Women Reservation Bill should come. We all tried...   \n",
              "4  Ganesh temple decorated with notes, coins worth ₹2.5 crore in Bengaluru The Sri Sathya Ganapathi Temple in Bengaluru adorned its premises and idols with Indian currency notes and coins worth ₹2.5 ...   \n",
              "\n",
              "  News Categories  \n",
              "0    ['national']  \n",
              "1    ['national']  \n",
              "2    ['national']  \n",
              "3    ['national']  \n",
              "4    ['national']  "
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              "variable_name": "news_df"
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          "metadata": {},
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    {
      "cell_type": "code",
      "source": [
        "news_df[\"News Categories\"].value_counts()"
      ],
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        "id": "0pbEvduaRyGH",
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      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['entertainment']                                                                     11021\n",
              "['miscellaneous']                                                                     10545\n",
              "['science']                                                                            8901\n",
              "['national']                                                                           7552\n",
              "['politics']                                                                           7473\n",
              "                                                                                      ...  \n",
              "['all', 'sports']                                                                         1\n",
              "['all', 'sports', 'Asian_Games_2022']                                                     1\n",
              "['Feel_Good_Stories', 'hatke', 'national', 'Health___Fitness']                            1\n",
              "['Feel_Good_Stories', 'politics', 'education', 'business', 'startup', 'Lifestyle']        1\n",
              "['politics', 'education', 'world']                                                        1\n",
              "Name: News Categories, Length: 534, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
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    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Assuming you have already calculated 'news_count' and 'news_percent'\n",
        "\n",
        "# Slice the top 100 rows\n",
        "top_100_news_count = news_count[:50]\n",
        "top_100_news_percent = news_percent[:50]\n",
        "\n",
        "# Create the bar plot\n",
        "plt.figure(figsize=(12, 6))\n",
        "top_100_news_count.plot(kind='bar', color='blue', edgecolor='black')\n",
        "\n",
        "# Annotate each bar with the percentage\n",
        "for idx, count in enumerate(top_100_news_count):\n",
        "    plt.text(idx, count + 0.5, f'{top_100_news_percent[idx]:.1f}%', ha='center')\n",
        "\n",
        "# Set plot title and labels\n",
        "plt.title('Top 50 News Categories Distribution')\n",
        "plt.xlabel('News Categories')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "# Rotate x-axis labels for better readability\n",
        "plt.xticks(rotation=270, ha='right')\n",
        "\n",
        "# Show the plot\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "95elOCNZR-wq",
        "outputId": "3cda587f-66c6-4fa5-d9fa-ff15df4c157d"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# lets do some text preprocessing\n",
        "REPLACE_BY_SPACE_RE = re.compile('[/(){}\\[\\]\\|@,;]')\n",
        "BAD_SYMBOLS_RE = re.compile('[^0-9a-z #+_]')\n",
        "STOPWORDS = set(stopwords.words('english'))"
      ],
      "metadata": {
        "id": "IWkpmD_5TZMt"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def clean_text(text):\n",
        "\n",
        "    text = text.lower()\n",
        "    text = REPLACE_BY_SPACE_RE.sub(' ', text) # replace REPLACE_BY_SPACE_RE symbols by space in text\n",
        "    text = BAD_SYMBOLS_RE.sub('', text) # remove BAD_SYMBOLS_RE symbols in text\n",
        "    text = ' '.join(word for word in text.split(' ') if word not in STOPWORDS) # remove stopwords from text\n",
        "\n",
        "    return text"
      ],
      "metadata": {
        "id": "0xiJicTRW-CY"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "news_df['Headline'] = news_df['Headline'].apply(clean_text)\n"
      ],
      "metadata": {
        "id": "mlb4364CXIE8"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# tokenizing is the process of splitting the text into tokens. It create word_index for each token\n",
        "# which can be used to convert text sequence into integer sequence\n",
        "max_words = 10000\n",
        "tok = Tokenizer(num_words=max_words)\n",
        "tok.fit_on_texts(news_df['Headline'])\n",
        "sequence = tok.texts_to_sequences(news_df['Headline'])"
      ],
      "metadata": {
        "id": "C-jDTg97XPnT"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(sequence)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BU8RJRegXtdI",
        "outputId": "5d3d99e7-1557-4d64-fac5-5a2055945304"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "199706"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# each of text in the news_df is converted to a sequence of words.\n",
        "news_df['Headline'][0], len(news_df['Headline'][0].split())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "okPOOtZ6XwLD",
        "outputId": "a37ef120-bf21-4ee5-876b-4d7cb9459f2f"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('congress leader baljinder singh shot dead home punjabs moga congress leader baljinder singh shot dead house punjabs moga monday  video also surfaced online according report free press journal  singh received call someone regarding signing documents video  accused seen shooting singh walking towards ',\n",
              " 42)"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sequence[0], len(sequence[0])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bQibpPkHX1o3",
        "outputId": "b996b42b-2678-460f-cef8-56ca67e412a0"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "([46,\n",
              "  138,\n",
              "  77,\n",
              "  985,\n",
              "  667,\n",
              "  221,\n",
              "  8054,\n",
              "  46,\n",
              "  138,\n",
              "  77,\n",
              "  985,\n",
              "  667,\n",
              "  307,\n",
              "  8054,\n",
              "  167,\n",
              "  7,\n",
              "  6,\n",
              "  347,\n",
              "  92,\n",
              "  50,\n",
              "  24,\n",
              "  602,\n",
              "  1686,\n",
              "  1200,\n",
              "  77,\n",
              "  245,\n",
              "  803,\n",
              "  1063,\n",
              "  1508,\n",
              "  8894,\n",
              "  2283,\n",
              "  7,\n",
              "  210,\n",
              "  94,\n",
              "  1787,\n",
              "  77,\n",
              "  1854,\n",
              "  720],\n",
              " 38)"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "news_df['Headline'][1], len(news_df['Headline'][1].split())\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4USMiWLTX46v",
        "outputId": "168bef46-0a77-483f-c63a-848a54e1692e"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('17yearold girl preparing neet dies suicide rajasthans kota another neet aspirant died suicide rajasthans kota monday  taking number student suicides year around 26 girl reportedly native ups mau staying hostel citys vigyan nagar area rushed hospital reportedly started vomiting  passed away later',\n",
              " 42)"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sequence[1], len(sequence[1])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IM7SysjkX90F",
        "outputId": "fd7e313c-44f3-4a7f-857b-67bdd0afd5ee"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "([6560,\n",
              "  650,\n",
              "  2464,\n",
              "  1227,\n",
              "  878,\n",
              "  603,\n",
              "  2598,\n",
              "  1123,\n",
              "  219,\n",
              "  1227,\n",
              "  4327,\n",
              "  266,\n",
              "  603,\n",
              "  2598,\n",
              "  1123,\n",
              "  167,\n",
              "  366,\n",
              "  268,\n",
              "  159,\n",
              "  1937,\n",
              "  14,\n",
              "  56,\n",
              "  688,\n",
              "  650,\n",
              "  82,\n",
              "  5686,\n",
              "  3540,\n",
              "  6199,\n",
              "  2246,\n",
              "  4740,\n",
              "  9459,\n",
              "  2462,\n",
              "  856,\n",
              "  3178,\n",
              "  242,\n",
              "  82,\n",
              "  407,\n",
              "  5534,\n",
              "  549,\n",
              "  291,\n",
              "  419],\n",
              " 41)"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "word_index = tok.word_index\n",
        "print(f'Found { len(word_index) } unique tokens.')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RgWgwB8nYP2l",
        "outputId": "1c2dcd37-d4da-49e2-c9e2-5aa42046b733"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 75292 unique tokens.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "news_df.head()"
      ],
      "metadata": {
        "colab": {
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        "id": "9PuAc1qeYPjG",
        "outputId": "ec9df64a-f7b3-46f0-ae41-e314663976de"
      },
      "execution_count": 43,
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              "                                                                                                                                                                                                  Headline  \\\n",
              "0  congress leader baljinder singh shot dead home punjabs moga congress leader baljinder singh shot dead house punjabs moga monday  video also surfaced online according report free press journal  sin...   \n",
              "1  17yearold girl preparing neet dies suicide rajasthans kota another neet aspirant died suicide rajasthans kota monday  taking number student suicides year around 26 girl reportedly native ups mau s...   \n",
              "2  hampers welcome mps new parliament tomorrow  pics surface order mark firstever working day new parliament building  members parliament receive copy constitution india  books related parliament  co...   \n",
              "3  10 women lawmakers rs  14 ls incs kharge congress president mallikarjun kharge  speaking rajya sabha  said  women reservation bill come tried issue   chair  raise  highlighting number women lawmak...   \n",
              "4  ganesh temple decorated notes  coins worth 25 crore bengaluru sri sathya ganapathi temple bengaluru adorned premises idols indian currency notes coins worth 25 crore occasion ganesh chathurthi dec...   \n",
              "\n",
              "  News Categories  \n",
              "0    ['national']  \n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "news_df"
            }
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# lets veiw the number of words in the headlines on each new group\n",
        "news_df['word_seq'] = sequence\n",
        "news_df['num_words'] = news_df['word_seq'].str.len()"
      ],
      "metadata": {
        "id": "5mf6EdxfYUiZ"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "news_df.groupby('News Categories').mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        },
        "id": "V1_5KJNSYf9R",
        "outputId": "b157cd50-b0a2-4c10-b5e8-2e16d471a14c"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-45-fe132a1513e6>:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
            "  news_df.groupby('News Categories').mean()\n"
          ]
        },
        {
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          "data": {
            "text/plain": [
              "                                                 num_words\n",
              "News Categories                                           \n",
              "['Asia_Cup_2023', 'sports']                      43.966667\n",
              "['Coronavirus', 'Health___Fitness']              42.000000\n",
              "['Coronavirus', 'national', 'Health___Fitness']  43.776224\n",
              "['Coronavirus', 'national', 'travel']            42.969231\n",
              "['Coronavirus', 'national']                      44.476190\n",
              "...                                                    ...\n",
              "['world', 'startup']                             40.000000\n",
              "['world', 'technology', 'Israel-Hamas_War']      40.500000\n",
              "['world', 'technology']                          39.805792\n",
              "['world', 'travel']                              41.807238\n",
              "['world']                                        37.333444\n",
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              "        const element = document.querySelector('#df-19aaf6a9-3619-4129-930c-db2dc9f0bad7');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-7260afb7-62dd-499a-8c80-a26f558c87a1\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7260afb7-62dd-499a-8c80-a26f558c87a1')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7260afb7-62dd-499a-8c80-a26f558c87a1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"news_df\",\n  \"rows\": 534,\n  \"fields\": [\n    {\n      \"column\": \"num_words\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.452097826448024,\n        \"min\": 19.0,\n        \"max\": 53.0,\n        \"num_unique_values\": 301,\n        \"samples\": [\n          37.415121822033896,\n          38.18181818181818,\n          43.35294117647059\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "news_df.groupby('News Categories')['num_words'].min()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LfFsz5cKYsOa",
        "outputId": "4db1cb16-7648-42a1-a2cf-5517e603c225"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "News Categories\n",
              "['Asia_Cup_2023', 'sports']                        32\n",
              "['Coronavirus', 'Health___Fitness']                42\n",
              "['Coronavirus', 'national', 'Health___Fitness']    39\n",
              "['Coronavirus', 'national', 'travel']              41\n",
              "['Coronavirus', 'national']                        36\n",
              "                                                   ..\n",
              "['world', 'startup']                               40\n",
              "['world', 'technology', 'Israel-Hamas_War']        34\n",
              "['world', 'technology']                            26\n",
              "['world', 'travel']                                31\n",
              "['world']                                          21\n",
              "Name: num_words, Length: 534, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# its seems like some headlines does not have complete text\n",
        "news_df[news_df['num_words'] <= 3]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 277
        },
        "id": "ImaL7OqXYyy4",
        "outputId": "3d93a220-aa9c-49fd-d5d1-68f57c696bb9"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Empty DataFrame\n",
              "Columns: [Headline, News Categories, word_seq, num_words]\n",
              "Index: []"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-021a6e69-c384-47ef-9548-e0ee243db477\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Headline</th>\n",
              "      <th>News Categories</th>\n",
              "      <th>word_seq</th>\n",
              "      <th>num_words</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n",
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              "    <div class=\"colab-df-buttons\">\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-021a6e69-c384-47ef-9548-e0ee243db477')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-021a6e69-c384-47ef-9548-e0ee243db477 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-021a6e69-c384-47ef-9548-e0ee243db477');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "'str' object has no attribute 'empty'"
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          },
          "metadata": {},
          "execution_count": 48
        },
        {
          "output_type": "display_data",
          "data": {
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              "<h4 class=\"colab-quickchart-section-title\">Time series</h4>\n",
              "<style>\n",
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              "  }\n",
              "</style>"
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "def _plot_series(series, series_name, series_index=0):\n",
              "  from matplotlib import pyplot as plt\n",
              "  import seaborn as sns\n",
              "  palette = list(sns.palettes.mpl_palette('Dark2'))\n",
              "  counted = (series['index']\n",
              "                .value_counts()\n",
              "              .reset_index(name='counts')\n",
              "              .rename({'index': 'index'}, axis=1)\n",
              "              .sort_values('index', ascending=True))\n",
              "  xs = counted['index']\n",
              "  ys = counted['counts']\n",
              "  plt.plot(xs, ys, label=series_name, color=palette[series_index % len(palette)])\n",
              "\n",
              "fig, ax = plt.subplots(figsize=(10, 5.2), layout='constrained')\n",
              "df_sorted = _df_0.sort_values('index', ascending=True)\n",
              "_plot_series(df_sorted, '')\n",
              "sns.despine(fig=fig, ax=ax)\n",
              "plt.xlabel('index')\n",
              "_ = plt.ylabel('count()')"
            ],
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              "RK5CYII=\n",
              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-f01740ab-69e9-4652-b2bf-0b2a7f12d85d\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-f01740ab-69e9-4652-b2bf-0b2a7f12d85d\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "from matplotlib import pyplot as plt\n",
              "import seaborn as sns\n",
              "def _plot_series(series, series_name, series_index=0):\n",
              "  from matplotlib import pyplot as plt\n",
              "  import seaborn as sns\n",
              "  palette = list(sns.palettes.mpl_palette('Dark2'))\n",
              "  counted = (series['num_words']\n",
              "                .value_counts()\n",
              "              .reset_index(name='counts')\n",
              "              .rename({'index': 'num_words'}, axis=1)\n",
              "              .sort_values('num_words', ascending=True))\n",
              "  xs = counted['num_words']\n",
              "  ys = counted['counts']\n",
              "  plt.plot(xs, ys, label=series_name, color=palette[series_index % len(palette)])\n",
              "\n",
              "fig, ax = plt.subplots(figsize=(10, 5.2), layout='constrained')\n",
              "df_sorted = _df_1.sort_values('num_words', ascending=True)\n",
              "_plot_series(df_sorted, '')\n",
              "sns.despine(fig=fig, ax=ax)\n",
              "plt.xlabel('num_words')\n",
              "_ = plt.ylabel('count()')"
            ],
            "text/html": [
              "      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-0477d8f9-2537-43bf-81e7-d64e17054d0b\">\n",
              "        <img style=\"width: 180px;\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA/MAAAITCAYAAABLz0yVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\n",
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              "AAAojJgHAACAwoh5AAAAKMz/B5L4wiubsyB+AAAAAElFTkSuQmCC\n",
              "\">\n",
              "      </div>\n",
              "      <script type=\"text/javascript\">\n",
              "        (() => {\n",
              "          const chartElement = document.getElementById(\"chart-0477d8f9-2537-43bf-81e7-d64e17054d0b\");\n",
              "          async function getCodeForChartHandler(event) {\n",
              "            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n",
              "                'getCodeForChart', [\"chart-0477d8f9-2537-43bf-81e7-d64e17054d0b\"], {});\n",
              "            const responseJson = chartCodeResponse.data['application/json'];\n",
              "            await google.colab.notebook.addCell(responseJson.code, 'code');\n",
              "          }\n",
              "          chartElement.onclick = getCodeForChartHandler;\n",
              "        })();\n",
              "      </script>\n",
              "      <style>\n",
              "        .colab-quickchart-chart-with-code  {\n",
              "            display: block;\n",
              "            float: left;\n",
              "            border: 1px solid transparent;\n",
              "        }\n",
              "\n",
              "        .colab-quickchart-chart-with-code:hover {\n",
              "            cursor: pointer;\n",
              "            border: 1px solid #aaa;\n",
              "        }\n",
              "      </style>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(news_df[news_df['num_words'] <= 3])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vw-cP9_xY7gy",
        "outputId": "fb033ca2-0188-4f6e-e900-2b2b3a094516"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# articles having few words are not providing sufficient information for classifying it into any group.\n",
        "# also the number of such samples is less, so we can just not consider them\n",
        "news_df = news_df[news_df['num_words'] > 3]"
      ],
      "metadata": {
        "id": "8wijQ9yeZH7B"
      },
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_train, x_test, y_train, y_test = train_test_split(news_df['Headline'], news_df['News Categories'], test_size=0.3, random_state=33)\n"
      ],
      "metadata": {
        "id": "hvnAaivPZLAk"
      },
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## lets try our first baseline model using Naive Bayes Classifier"
      ],
      "metadata": {
        "id": "9IccM8w3ZVWq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "nb = Pipeline([\n",
        "    ('vect', CountVectorizer()),\n",
        "    ('tfidf', TfidfTransformer()),\n",
        "    ('clf', MultinomialNB())\n",
        "])\n",
        "\n",
        "nb.fit(x_train, y_train)\n",
        "y_pred = nb.predict(x_test)\n",
        "\n",
        "print('accuracy %s : '% accuracy_score(y_pred, y_test))\n",
        "print(classification_report(y_test, y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cxkV4RR7ZS_P",
        "outputId": "80556f0f-df58-4e71-bb51-d184d0ff0d84"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "accuracy 0.7441247162505007 : \n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                                                                                                                                                                             precision    recall  f1-score   support\n",
            "\n",
            "                                                                                                                                                ['Asia_Cup_2023', 'sports']       0.00      0.00      0.00        12\n",
            "                                                                                                                                        ['Coronavirus', 'Health___Fitness']       0.00      0.00      0.00        13\n",
            "                                                                                                                            ['Coronavirus', 'national', 'Health___Fitness']       0.00      0.00      0.00        50\n",
            "                                                                                                                                      ['Coronavirus', 'national', 'travel']       1.00      1.00      1.00        18\n",
            "                                                                                                                                                ['Coronavirus', 'national']       0.00      0.00      0.00         6\n",
            "                                                                                                                             ['Coronavirus', 'science', 'Health___Fitness']       0.00      0.00      0.00         3\n",
            "                                                                                                                      ['Feel_Good_Stories', 'Health___Fitness', 'national']       0.00      0.00      0.00         8\n",
            "                                                                                                                        ['Feel_Good_Stories', 'Health___Fitness', 'travel']       1.00      1.00      1.00        23\n",
            "                                                                                                                                  ['Feel_Good_Stories', 'Health___Fitness']       0.00      0.00      0.00        10\n",
            "                                                                                                                   ['Feel_Good_Stories', 'Lifestyle', 'national', 'travel']       0.00      0.00      0.00         2\n",
            "                                                                                                                         ['Feel_Good_Stories', 'business', 'entertainment']       0.00      0.00      0.00         1\n",
            "                                                                                                                               ['Feel_Good_Stories', 'business', 'startup']       0.00      0.00      0.00         2\n",
            "                                                                                                                                ['Feel_Good_Stories', 'business', 'travel']       0.00      0.00      0.00        21\n",
            "                                                                                                                                          ['Feel_Good_Stories', 'business']       0.00      0.00      0.00         4\n",
            "                                                                                                                     ['Feel_Good_Stories', 'education', 'Health___Fitness']       0.00      0.00      0.00        12\n",
            "                                                                                                              ['Feel_Good_Stories', 'education', 'entertainment', 'travel']       1.00      1.00      1.00         6\n",
            "                                                                                                                           ['Feel_Good_Stories', 'education', 'technology']       0.00      0.00      0.00         4\n",
            "                                                                                                                               ['Feel_Good_Stories', 'education', 'travel']       0.00      0.00      0.00        10\n",
            "                                                                                                                                         ['Feel_Good_Stories', 'education']       0.00      0.00      0.00         5\n",
            "                                                                                                                         ['Feel_Good_Stories', 'entertainment', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                                     ['Feel_Good_Stories', 'entertainment']       0.00      0.00      0.00         7\n",
            "                                                                                                                                           ['Feel_Good_Stories', 'fashion']       0.00      0.00      0.00         9\n",
            "                                                                                       ['Feel_Good_Stories', 'hatke', 'education', 'business', 'entertainment', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                         ['Feel_Good_Stories', 'hatke', 'education', 'miscellaneous', 'national', 'travel']       0.00      0.00      0.00        24\n",
            "                                                                                                                    ['Feel_Good_Stories', 'hatke', 'education', 'national']       0.00      0.00      0.00         6\n",
            "                                                                            ['Feel_Good_Stories', 'hatke', 'education', 'world', 'science', 'Health___Fitness', 'national']       0.00      0.00      0.00         9\n",
            "                                                                                                                ['Feel_Good_Stories', 'hatke', 'entertainment', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                            ['Feel_Good_Stories', 'hatke', 'entertainment']       0.00      0.00      0.00         1\n",
            "                                                                                                                                  ['Feel_Good_Stories', 'hatke', 'fashion']       1.00      0.37      0.54        19\n",
            "                                                                                                           ['Feel_Good_Stories', 'hatke', 'miscellaneous', 'entertainment']       0.00      0.00      0.00         3\n",
            "                                                                                                                  ['Feel_Good_Stories', 'hatke', 'miscellaneous', 'travel']       0.00      0.00      0.00        19\n",
            "                                                                                                                            ['Feel_Good_Stories', 'hatke', 'miscellaneous']       0.00      0.00      0.00        13\n",
            "                                                                                                                       ['Feel_Good_Stories', 'hatke', 'national', 'travel']       0.00      0.00      0.00        11\n",
            "                                                                                                                                 ['Feel_Good_Stories', 'hatke', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                   ['Feel_Good_Stories', 'hatke', 'travel']       0.00      0.00      0.00         7\n",
            "                                                                                                                         ['Feel_Good_Stories', 'hatke', 'world', 'fashion']       0.00      0.00      0.00         4\n",
            "                                                                                           ['Feel_Good_Stories', 'hatke', 'world', 'miscellaneous', 'business', 'national']       0.00      0.00      0.00         4\n",
            "                                                                                                              ['Feel_Good_Stories', 'hatke', 'world', 'national', 'travel']       0.00      0.00      0.00         1\n",
            "                                                                                                                        ['Feel_Good_Stories', 'hatke', 'world', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                    ['Feel_Good_Stories', 'hatke', 'world']       0.00      0.00      0.00         4\n",
            "                                                                                                                 ['Feel_Good_Stories', 'miscellaneous', 'Health___Fitness']       0.00      0.00      0.00         1\n",
            "                                                                                                     ['Feel_Good_Stories', 'miscellaneous', 'business', 'Health___Fitness']       0.00      0.00      0.00         4\n",
            "                                                                                                          ['Feel_Good_Stories', 'miscellaneous', 'entertainment', 'travel']       0.00      0.00      0.00        12\n",
            "                                                                                                                    ['Feel_Good_Stories', 'miscellaneous', 'entertainment']       0.00      0.00      0.00         4\n",
            "                                                                                                                          ['Feel_Good_Stories', 'miscellaneous', 'fashion']       0.00      0.00      0.00        13\n",
            "                                                                                                                         ['Feel_Good_Stories', 'miscellaneous', 'national']       0.00      0.00      0.00         4\n",
            "                                                                                                                           ['Feel_Good_Stories', 'miscellaneous', 'travel']       1.00      0.41      0.58        46\n",
            "                                                                                                                 ['Feel_Good_Stories', 'miscellaneous', 'world', 'science']       0.00      0.00      0.00         4\n",
            "                                                                                                                                     ['Feel_Good_Stories', 'miscellaneous']       0.00      0.00      0.00        50\n",
            "                                                                                                                                ['Feel_Good_Stories', 'national', 'travel']       1.00      0.56      0.71        18\n",
            "                                                                                                                                          ['Feel_Good_Stories', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                ['Feel_Good_Stories', 'politics', 'education', 'entertainment', 'national']       0.00      0.00      0.00         4\n",
            "                                                                                                ['Feel_Good_Stories', 'politics', 'education', 'miscellaneous', 'national']       0.00      0.00      0.00         2\n",
            "                                                            ['Feel_Good_Stories', 'politics', 'hatke', 'education', 'miscellaneous', 'entertainment', 'national', 'travel']       0.00      0.00      0.00         1\n",
            "                                                                                       ['Feel_Good_Stories', 'politics', 'hatke', 'education', 'miscellaneous', 'national']       0.00      0.00      0.00         7\n",
            "                                                                                                                                           ['Feel_Good_Stories', 'science']       0.00      0.00      0.00        10\n",
            "                                                                                                  ['Feel_Good_Stories', 'sports', 'Health___Fitness', 'national', 'travel']       1.00      1.00      1.00         8\n",
            "                                                                                                                                ['Feel_Good_Stories', 'sports', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                              ['Feel_Good_Stories', 'sports', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                  ['Feel_Good_Stories', 'sports', 'travel']       1.00      1.00      1.00        11\n",
            "                                                                                                                                            ['Feel_Good_Stories', 'sports']       0.00      0.00      0.00         6\n",
            "                                                                                                                                           ['Feel_Good_Stories', 'startup']       0.00      0.00      0.00        10\n",
            "                                                                                                                                            ['Feel_Good_Stories', 'travel']       1.00      0.77      0.87        98\n",
            "                                                                                                              ['Feel_Good_Stories', 'world', 'miscellaneous', 'technology']       0.00      0.00      0.00         6\n",
            "                                                                                                                            ['Feel_Good_Stories', 'world', 'miscellaneous']       0.00      0.00      0.00         4\n",
            "                                                                                                                                 ['Feel_Good_Stories', 'world', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                                  ['Feel_Good_Stories', 'world', 'science']       0.00      0.00      0.00         7\n",
            "                                                                                                                                   ['Feel_Good_Stories', 'world', 'travel']       1.00      0.64      0.78        36\n",
            "                                                                                                                                             ['Feel_Good_Stories', 'world']       0.00      0.00      0.00         8\n",
            "                                                                                                                              ['Health___Fitness', 'Lifestyle', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                            ['Health___Fitness', 'Lifestyle', 'technology']       0.00      0.00      0.00         2\n",
            "                                                                                                                                          ['Health___Fitness', 'Lifestyle']       0.00      0.00      0.00        31\n",
            "                                                                                                                                            ['Health___Fitness', 'fashion']       0.00      0.00      0.00         8\n",
            "                                                                                                                                           ['Health___Fitness', 'national']       1.00      0.61      0.76       249\n",
            "                                                                                                                                         ['Health___Fitness', 'technology']       1.00      0.32      0.48        75\n",
            "                                                                                                                                             ['Health___Fitness', 'travel']       0.00      0.00      0.00        10\n",
            "                                                                                                                                                       ['Health___Fitness']       0.76      0.91      0.83      1164\n",
            "                                                                                                                                          ['Lifestyle', 'Health___Fitness']       0.00      0.00      0.00        19\n",
            "                                                                                                                                                    ['Lifestyle', 'travel']       0.00      0.00      0.00         4\n",
            "                                                                                                                ['ODI_World_Cup_2023', 'business', 'startup', 'technology']       0.00      0.00      0.00         2\n",
            "                                                                                                                                    ['ODI_World_Cup_2023', 'entertainment']       0.00      0.00      0.00         1\n",
            "                                                                                                                                         ['ODI_World_Cup_2023', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                               ['ODI_World_Cup_2023', 'sports', 'business']       0.00      0.00      0.00         2\n",
            "                                                                                                                          ['ODI_World_Cup_2023', 'sports', 'entertainment']       0.00      0.00      0.00         3\n",
            "                                                                                                                               ['ODI_World_Cup_2023', 'sports', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                ['ODI_World_Cup_2023', 'sports', 'startup']       0.00      0.00      0.00         4\n",
            "                                                                                                                             ['ODI_World_Cup_2023', 'sports', 'technology']       0.00      0.00      0.00         1\n",
            "                                                                                                                                           ['ODI_World_Cup_2023', 'sports']       1.00      0.02      0.04       371\n",
            "                                                                                                                                          ['ODI_World_Cup_2023', 'startup']       0.00      0.00      0.00         2\n",
            "                                                                                                                                             ['all', 'metaverse', 'sports']       0.00      0.00      0.00         1\n",
            "                                                                                                                                             ['all', 'myfeed', 'education']       1.00      1.00      1.00         7\n",
            "                                                                                                                            ['all', 'myfeed', 'sports', 'Asian_Games_2022']       0.00      0.00      0.00         2\n",
            "                                                                                                                                    ['all', 'myfeed', 'sports', 'national']       0.00      0.00      0.00        10\n",
            "                                                                                                                                                ['all', 'myfeed', 'sports']       0.00      0.00      0.00         9\n",
            "                                                                                                                                      ['all', 'sports', 'Asian_Games_2022']       0.00      0.00      0.00         1\n",
            "                                                                                                                   ['automobile', 'Feel_Good_Stories', 'hatke', 'national']       0.00      0.00      0.00        11\n",
            "                                                                                                                                    ['automobile', 'business', 'Lifestyle']       0.00      0.00      0.00         3\n",
            "                                                                                                                                     ['automobile', 'business', 'national']       0.00      0.00      0.00        74\n",
            "                                                                                                                                       ['automobile', 'business', 'sports']       1.00      1.00      1.00        14\n",
            "                                                                                                              ['automobile', 'business', 'startup', 'technology', 'travel']       1.00      1.00      1.00        24\n",
            "                                                                                                                        ['automobile', 'business', 'startup', 'technology']       1.00      0.43      0.60        96\n",
            "                                                                                                                                      ['automobile', 'business', 'startup']       1.00      0.78      0.88       260\n",
            "                                                                                                                         ['automobile', 'business', 'technology', 'travel']       1.00      1.00      1.00        47\n",
            "                                                                                                                                   ['automobile', 'business', 'technology']       1.00      0.66      0.80       292\n",
            "                                                                                                                                                 ['automobile', 'business']       0.79      1.00      0.88      2028\n",
            "                                                                                                                                            ['automobile', 'entertainment']       1.00      1.00      1.00         9\n",
            "                                                                                                                                            ['automobile', 'miscellaneous']       0.00      0.00      0.00         6\n",
            "                                                                                                                                                 ['automobile', 'national']       1.00      0.64      0.78       204\n",
            "                                                                                                                       ['automobile', 'politics', 'national', 'technology']       0.00      0.00      0.00        10\n",
            "                                                                                                                                    ['automobile', 'science', 'technology']       0.00      0.00      0.00        13\n",
            "                                                                                                                                                   ['automobile', 'sports']       1.00      1.00      1.00        24\n",
            "                                                                                                                                    ['automobile', 'startup', 'technology']       0.00      0.00      0.00        30\n",
            "                                                                                                                                                  ['automobile', 'startup']       1.00      0.49      0.66       146\n",
            "                                                                                                                           ['automobile', 'technology', 'Israel-Hamas_War']       0.00      0.00      0.00        23\n",
            "                                                                                                                                     ['automobile', 'technology', 'travel']       0.00      0.00      0.00        12\n",
            "                                                                                                                                               ['automobile', 'technology']       0.96      0.97      0.97       548\n",
            "                                                                                                                            ['automobile', 'world', 'business', 'national']       0.00      0.00      0.00         7\n",
            "                                                                                                                                        ['automobile', 'world', 'business']       0.00      0.00      0.00        15\n",
            "                                                                                                                                      ['automobile', 'world', 'technology']       0.00      0.00      0.00         6\n",
            "                                                                                                                                                    ['automobile', 'world']       0.00      0.00      0.00        16\n",
            "                                                                                                                                                             ['automobile']       1.00      0.88      0.94       341\n",
            "                                                                                                                               ['business', 'Health___Fitness', 'national']       0.00      0.00      0.00        21\n",
            "                                                                                                                                           ['business', 'Health___Fitness']       1.00      0.24      0.39        62\n",
            "                                                                                                                                           ['business', 'Israel-Hamas_War']       0.00      0.00      0.00         6\n",
            "                                                                                                                                                  ['business', 'Lifestyle']       0.00      0.00      0.00         1\n",
            "                                                                                                                              ['business', 'ODI_World_Cup_2023', 'startup']       0.00      0.00      0.00         4\n",
            "                                                                                                                                  ['business', 'entertainment', 'national']       0.00      0.00      0.00        11\n",
            "                                                                                                                       ['business', 'entertainment', 'startup', 'national']       0.00      0.00      0.00         6\n",
            "                                                                                                           ['business', 'entertainment', 'startup', 'technology', 'policy']       0.00      0.00      0.00         4\n",
            "                                                                                                                     ['business', 'entertainment', 'startup', 'technology']       0.00      0.00      0.00        17\n",
            "                                                                                                                                   ['business', 'entertainment', 'startup']       0.00      0.00      0.00         4\n",
            "                                                                                                                      ['business', 'entertainment', 'technology', 'policy']       0.00      0.00      0.00         1\n",
            "                                                                                                                                ['business', 'entertainment', 'technology']       0.00      0.00      0.00         6\n",
            "                                                                                                                                              ['business', 'entertainment']       0.00      0.00      0.00        59\n",
            "                                                                                                                                                    ['business', 'fashion']       1.00      0.58      0.73       144\n",
            "                                                                                                                     ['business', 'national', 'Health___Fitness', 'travel']       0.00      0.00      0.00         4\n",
            "                                                                                                                               ['business', 'national', 'Health___Fitness']       0.00      0.00      0.00         4\n",
            "                                                                                                                                        ['business', 'national', 'fashion']       0.00      0.00      0.00         9\n",
            "                                                                                                                                     ['business', 'national', 'technology']       1.00      0.50      0.67        36\n",
            "                                                                                                                                         ['business', 'national', 'travel']       1.00      0.89      0.94        80\n",
            "                                                                                                                                                   ['business', 'national']       1.00      0.02      0.03       381\n",
            "                                                                                                                                         ['business', 'science', 'fashion']       0.00      0.00      0.00        11\n",
            "                                                                                                                                      ['business', 'science', 'technology']       0.00      0.00      0.00        33\n",
            "                                                                                                                                                    ['business', 'science']       1.00      0.38      0.55        16\n",
            "                                                                                                                               ['business', 'sports', 'ODI_World_Cup_2023']       0.00      0.00      0.00         3\n",
            "                                                                                                                                         ['business', 'sports', 'national']       0.00      0.00      0.00         2\n",
            "                                                                                                                            ['business', 'sports', 'startup', 'technology']       0.00      0.00      0.00         4\n",
            "                                                                                                                                       ['business', 'sports', 'technology']       0.00      0.00      0.00         6\n",
            "                                                                                                                                                     ['business', 'sports']       0.00      0.00      0.00        14\n",
            "                                                                                                                  ['business', 'startup', 'Health___Fitness', 'technology']       0.00      0.00      0.00        16\n",
            "                                                                                                                                ['business', 'startup', 'Health___Fitness']       0.00      0.00      0.00        26\n",
            "                                                                                                                                       ['business', 'startup', 'Lifestyle']       0.00      0.00      0.00         2\n",
            "                                                                                                                                         ['business', 'startup', 'fashion']       0.00      0.00      0.00        51\n",
            "                                                                                                                          ['business', 'startup', 'national', 'technology']       0.00      0.00      0.00         5\n",
            "                                                                                                                                        ['business', 'startup', 'national']       0.00      0.00      0.00        39\n",
            "                                                                                                                           ['business', 'startup', 'science', 'technology']       1.00      0.35      0.51       101\n",
            "                                                                                                                                         ['business', 'startup', 'science']       0.00      0.00      0.00        12\n",
            "                                                                                                                             ['business', 'startup', 'technology', 'facts']       0.00      0.00      0.00         5\n",
            "                                                                                                                           ['business', 'startup', 'technology', 'fashion']       1.00      0.79      0.88       184\n",
            "                                                                                                                            ['business', 'startup', 'technology', 'policy']       0.00      0.00      0.00         2\n",
            "                                                                                                                            ['business', 'startup', 'technology', 'travel']       0.00      0.00      0.00        18\n",
            "                                                                                                                                      ['business', 'startup', 'technology']       0.61      0.94      0.74      2112\n",
            "                                                                                                                                          ['business', 'startup', 'travel']       1.00      0.21      0.34        34\n",
            "                                                                                                                                                    ['business', 'startup']       1.00      0.61      0.75       929\n",
            "                                                                                                                             ['business', 'technology', 'Israel-Hamas_War']       0.00      0.00      0.00         2\n",
            "                                                                                                                                                 ['business', 'technology']       0.91      0.77      0.83      1138\n",
            "                                                                                                                                                     ['business', 'travel']       0.98      0.96      0.97       219\n",
            "                                                                                                                                                               ['business']       0.62      0.88      0.73      2094\n",
            "                                                                                                                   ['cryptocurrency', 'business', 'national', 'technology']       0.00      0.00      0.00         2\n",
            "                                                                                                                               ['cryptocurrency', 'business', 'technology']       1.00      0.10      0.19        78\n",
            "                                                                                                                                             ['cryptocurrency', 'business']       0.00      0.00      0.00         3\n",
            "                                                                                                                                           ['cryptocurrency', 'technology']       0.00      0.00      0.00         8\n",
            "                                                                                                                                                ['cryptocurrency', 'world']       0.00      0.00      0.00         1\n",
            "                                                                                                                                          ['education', 'Health___Fitness']       0.00      0.00      0.00         4\n",
            "                                                                                                                        ['education', 'business', 'national', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                      ['education', 'business', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                                         ['education', 'business', 'startup', 'technology']       0.00      0.00      0.00        56\n",
            "                                                                                                                                       ['education', 'business', 'startup']       0.00      0.00      0.00        77\n",
            "                                                                                                                                    ['education', 'business', 'technology']       0.00      0.00      0.00         7\n",
            "                                                                                                                                        ['education', 'business', 'travel']       0.00      0.00      0.00        11\n",
            "                                                                                                                                                  ['education', 'business']       1.00      0.14      0.24       123\n",
            "                                                                                                                     ['education', 'miscellaneous', 'business', 'national']       0.00      0.00      0.00        17\n",
            "                                                                                                                      ['education', 'miscellaneous', 'business', 'startup']       1.00      1.00      1.00         7\n",
            "                                                                                       ['education', 'miscellaneous', 'entertainment', 'science', 'national', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                 ['education', 'miscellaneous', 'national']       0.00      0.00      0.00        21\n",
            "                                                                                                              ['education', 'miscellaneous', 'science', 'Health___Fitness']       1.00      0.13      0.24        15\n",
            "                                                                                                                                   ['education', 'miscellaneous', 'travel']       1.00      1.00      1.00        10\n",
            "                                                                                                                        ['education', 'miscellaneous', 'world', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                                                             ['education', 'miscellaneous']       0.00      0.00      0.00         6\n",
            "                                                                                                                              ['education', 'national', 'Health___Fitness']       0.00      0.00      0.00        12\n",
            "                                                                                                                                                  ['education', 'national']       0.81      0.98      0.89      1833\n",
            "                                                                                                                         ['education', 'science', 'national', 'technology']       0.00      0.00      0.00         6\n",
            "                                                                                                                                       ['education', 'science', 'national']       0.00      0.00      0.00        12\n",
            "                                                                                                                                     ['education', 'science', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                       ['education', 'startup', 'national']       1.00      1.00      1.00        17\n",
            "                                                                                                                                     ['education', 'startup', 'technology']       0.00      0.00      0.00        11\n",
            "                                                                                                                                                   ['education', 'startup']       1.00      0.72      0.84        39\n",
            "                                                                                                                                                ['education', 'technology']       1.00      0.73      0.84        26\n",
            "                                                                                                                                                    ['education', 'travel']       0.00      0.00      0.00        12\n",
            "                                                                                                                     ['education', 'world', 'business', 'Israel-Hamas_War']       0.00      0.00      0.00        10\n",
            "                                                                                                                                    ['education', 'world', 'miscellaneous']       0.00      0.00      0.00         6\n",
            "                                                                                                                           ['education', 'world', 'national', 'technology']       0.00      0.00      0.00         2\n",
            "                                                                                                                                         ['education', 'world', 'national']       1.00      0.23      0.38        73\n",
            "                                                                                                                                                     ['education', 'world']       1.00      0.50      0.67       121\n",
            "                                                                                                                                                              ['education']       0.93      0.74      0.82      1174\n",
            "                                                                                                                           ['entertainment', 'Health___Fitness', 'fashion']       0.00      0.00      0.00        13\n",
            "                                                                                                                                      ['entertainment', 'Health___Fitness']       1.00      0.69      0.82        42\n",
            "                                                                                                                                      ['entertainment', 'Israel-Hamas_War']       0.00      0.00      0.00         4\n",
            "                                                                                                                                  ['entertainment', 'Lifestyle', 'fashion']       0.00      0.00      0.00         3\n",
            "                                                                                                                                             ['entertainment', 'Lifestyle']       0.00      0.00      0.00         1\n",
            "                                                                                                                                               ['entertainment', 'fashion']       0.87      1.00      0.93      2133\n",
            "                                                                                                                                ['entertainment', 'national', 'technology']       0.00      0.00      0.00         7\n",
            "                                                                                                                                              ['entertainment', 'national']       1.00      0.01      0.01       311\n",
            "                                                                                                                                               ['entertainment', 'science']       0.00      0.00      0.00         4\n",
            "                                                                                                                                   ['entertainment', 'startup', 'national']       0.00      0.00      0.00        18\n",
            "                                                                                                                       ['entertainment', 'startup', 'technology', 'policy']       0.00      0.00      0.00         4\n",
            "                                                                                                                                 ['entertainment', 'startup', 'technology']       0.00      0.00      0.00         5\n",
            "                                                                                                                                               ['entertainment', 'startup']       0.00      0.00      0.00        12\n",
            "                                                                                                                                            ['entertainment', 'technology']       0.00      0.00      0.00        47\n",
            "                                                                                                                                                ['entertainment', 'travel']       0.00      0.00      0.00         7\n",
            "                                                                                                                                                          ['entertainment']       0.72      0.97      0.83      3329\n",
            "                                                                                                                                                                ['fashion']       0.99      0.89      0.94       954\n",
            "                                                                                                                                  ['hatke', 'Health___Fitness', 'national']       0.00      0.00      0.00         2\n",
            "                                                                                                                                           ['hatke', 'business', 'fashion']       1.00      1.00      1.00        16\n",
            "                                                                                                                                                      ['hatke', 'business']       0.00      0.00      0.00         4\n",
            "                                                                                                                                          ['hatke', 'education', 'fashion']       1.00      0.50      0.67        28\n",
            "                                                                                                                              ['hatke', 'education', 'national', 'fashion']       1.00      1.00      1.00        16\n",
            "                                                                                                                                         ['hatke', 'education', 'national']       0.00      0.00      0.00         2\n",
            "                                                                                                                ['hatke', 'education', 'science', 'national', 'technology']       0.00      0.00      0.00         7\n",
            "                                                                                                                 ['hatke', 'entertainment', 'Health___Fitness', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                           ['hatke', 'entertainment', 'national', 'travel']       0.00      0.00      0.00         2\n",
            "                                                                                                                                     ['hatke', 'entertainment', 'national']       0.00      0.00      0.00         9\n",
            "                                                                                                                                   ['hatke', 'entertainment', 'technology']       0.00      0.00      0.00         2\n",
            "                                                                                                                                                 ['hatke', 'entertainment']       0.00      0.00      0.00         1\n",
            "                                                                                                                                                       ['hatke', 'fashion']       1.00      0.56      0.72        41\n",
            "                                                                                                                             ['hatke', 'miscellaneous', 'Health___Fitness']       0.00      0.00      0.00         2\n",
            "                                                                                                                         ['hatke', 'miscellaneous', 'business', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                                     ['hatke', 'miscellaneous', 'business']       0.00      0.00      0.00         2\n",
            "                                                                                                          ['hatke', 'miscellaneous', 'entertainment', 'national', 'travel']       0.00      0.00      0.00        10\n",
            "                                                                                                                    ['hatke', 'miscellaneous', 'entertainment', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                ['hatke', 'miscellaneous', 'entertainment']       0.00      0.00      0.00         2\n",
            "                                                                                                                       ['hatke', 'miscellaneous', 'national', 'technology']       0.00      0.00      0.00         1\n",
            "                                                                                                                                     ['hatke', 'miscellaneous', 'national']       0.00      0.00      0.00        13\n",
            "                                                                                                                                       ['hatke', 'miscellaneous', 'travel']       0.00      0.00      0.00        20\n",
            "                                                                                                                                                 ['hatke', 'miscellaneous']       0.00      0.00      0.00        58\n",
            "                                                                                                                                  ['hatke', 'national', 'Health___Fitness']       0.00      0.00      0.00         3\n",
            "                                                                                                                                           ['hatke', 'national', 'fashion']       1.00      1.00      1.00         7\n",
            "                                                                                                                                        ['hatke', 'national', 'technology']       0.00      0.00      0.00         4\n",
            "                                                                                                                                            ['hatke', 'national', 'travel']       0.00      0.00      0.00        30\n",
            "                                                                                                                                                      ['hatke', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                                                                       ['hatke', 'science']       0.00      0.00      0.00         1\n",
            "                                                                                                                                                        ['hatke', 'sports']       0.00      0.00      0.00        27\n",
            "                                                                                                                                                    ['hatke', 'technology']       0.00      0.00      0.00        16\n",
            "                                                                                                                                                        ['hatke', 'travel']       1.00      0.62      0.77        93\n",
            "                                                                                                                                            ['hatke', 'world', 'Lifestyle']       0.00      0.00      0.00         1\n",
            "                                                                                                                                        ['hatke', 'world', 'entertainment']       0.00      0.00      0.00         2\n",
            "                                                                                                                                        ['hatke', 'world', 'miscellaneous']       0.00      0.00      0.00         8\n",
            "                                                                                                                         ['hatke', 'world', 'national', 'Health___Fitness']       0.00      0.00      0.00         8\n",
            "                                                                                                                                             ['hatke', 'world', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                                                           ['hatke', 'world', 'technology']       0.00      0.00      0.00         4\n",
            "                                                                                                                                                         ['hatke', 'world']       0.00      0.00      0.00        20\n",
            "                                                                                                                                    ['metaverse', 'business', 'technology']       0.00      0.00      0.00         2\n",
            "                                                                                                                                   ['metaverse', 'education', 'technology']       0.00      0.00      0.00         5\n",
            "                                                                                                                                                  ['metaverse', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                                      ['miscellaneous', 'Health___Fitness']       1.00      0.46      0.63        50\n",
            "                                                                                                                         ['miscellaneous', 'Lifestyle', 'Health___Fitness']       0.00      0.00      0.00         6\n",
            "                                                                                                                                             ['miscellaneous', 'Lifestyle']       0.00      0.00      0.00        18\n",
            "                                                                                                              ['miscellaneous', 'ODI_World_Cup_2023', 'sports', 'national']       0.00      0.00      0.00         2\n",
            "                                                                                                                                    ['miscellaneous', 'ODI_World_Cup_2023']       0.00      0.00      0.00         2\n",
            "                                                                                                                       ['miscellaneous', 'business', 'startup', 'national']       0.00      0.00      0.00         6\n",
            "                                                                                                                                   ['miscellaneous', 'business', 'startup']       0.00      0.00      0.00        10\n",
            "                                                                                                                                              ['miscellaneous', 'business']       0.00      0.00      0.00        11\n",
            "                                                                                                                                 ['miscellaneous', 'education', 'national']       0.00      0.00      0.00         6\n",
            "                                                                                                                                             ['miscellaneous', 'education']       0.00      0.00      0.00         6\n",
            "                                                                                                                              ['miscellaneous', 'entertainment', 'fashion']       0.00      0.00      0.00        32\n",
            "                                                                                                                               ['miscellaneous', 'entertainment', 'travel']       1.00      0.62      0.76        13\n",
            "                                                                                                                                         ['miscellaneous', 'entertainment']       0.00      0.00      0.00        40\n",
            "                                                                                                                                               ['miscellaneous', 'fashion']       1.00      1.00      1.00        15\n",
            "                                                                                                                          ['miscellaneous', 'national', 'Health___Fitness']       0.00      0.00      0.00         1\n",
            "                                                                                                                     ['miscellaneous', 'national', 'technology', 'fashion']       0.00      0.00      0.00         9\n",
            "                                                                                                                                ['miscellaneous', 'national', 'technology']       1.00      0.86      0.92        21\n",
            "                                                                                                                                              ['miscellaneous', 'national']       0.00      0.00      0.00       103\n",
            "                                                                                                               ['miscellaneous', 'science', 'national', 'Health___Fitness']       0.00      0.00      0.00         3\n",
            "                                                                                                                                               ['miscellaneous', 'science']       0.00      0.00      0.00         8\n",
            "                                                                                                                                                ['miscellaneous', 'sports']       0.00      0.00      0.00        12\n",
            "                                                                                                                                               ['miscellaneous', 'startup']       0.00      0.00      0.00         5\n",
            "                                                                                                                                            ['miscellaneous', 'technology']       0.00      0.00      0.00        22\n",
            "                                                                                                                                                ['miscellaneous', 'travel']       0.99      0.82      0.90       178\n",
            "                                                                                                                             ['miscellaneous', 'world', 'Health___Fitness']       0.00      0.00      0.00         3\n",
            "                                                                                                                                      ['miscellaneous', 'world', 'science']       0.00      0.00      0.00         4\n",
            "                                                                                                                                   ['miscellaneous', 'world', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                                 ['miscellaneous', 'world']       0.00      0.00      0.00         7\n",
            "                                                                                                                                                          ['miscellaneous']       0.61      0.92      0.73      3074\n",
            "                                                                                                                                   ['myfeed', 'sports', 'Asian_Games_2022']       0.00      0.00      0.00         1\n",
            "                                                                                                                             ['national', 'Health___Fitness', 'technology']       0.00      0.00      0.00         4\n",
            "                                                                                                                                           ['national', 'Health___Fitness']       0.91      0.89      0.90       709\n",
            "                                                                                                                                                  ['national', 'Lifestyle']       0.00      0.00      0.00         3\n",
            "                                                                                                                                                    ['national', 'fashion']       1.00      0.62      0.77        40\n",
            "                                                                                                                                       ['national', 'technology', 'travel']       0.00      0.00      0.00         7\n",
            "                                                                                                                                                 ['national', 'technology']       0.00      0.00      0.00       215\n",
            "                                                                                                                                                     ['national', 'travel']       0.92      0.98      0.95      1342\n",
            "                                                                                                                                                               ['national']       0.55      0.75      0.63      2301\n",
            "                                                                                                ['politics', 'Feel_Good_Stories', 'education', 'miscellaneous', 'national']       0.00      0.00      0.00         4\n",
            "                                                                                                                               ['politics', 'Health___Fitness', 'national']       0.00      0.00      0.00        10\n",
            "                                                                                                                                           ['politics', 'Health___Fitness']       0.00      0.00      0.00        15\n",
            "                                                                                                                                           ['politics', 'Israel-Hamas_War']       0.00      0.00      0.00        27\n",
            "                                                                                                                               ['politics', 'ODI_World_Cup_2023', 'sports']       0.00      0.00      0.00         1\n",
            "                                                                                                                                         ['politics', 'ODI_World_Cup_2023']       0.00      0.00      0.00         3\n",
            "                                                                                                                                       ['politics', 'business', 'national']       0.00      0.00      0.00        41\n",
            "                                                                                                                          ['politics', 'business', 'startup', 'technology']       0.00      0.00      0.00        16\n",
            "                                                                                                                                                   ['politics', 'business']       0.00      0.00      0.00        15\n",
            "                                                                                                                     ['politics', 'education', 'miscellaneous', 'national']       0.00      0.00      0.00        52\n",
            "['politics', 'education', 'miscellaneous', 'sports', 'business', 'entertainment', 'technology', 'automobile', 'Feel_Good_Stories', 'hatke', 'world', 'science', 'national']       1.00      1.00      1.00        16\n",
            "                                                             ['politics', 'education', 'miscellaneous', 'world', 'national', 'Russia-Ukraine_Conflict', 'Israel-Hamas_War']       0.00      0.00      0.00         7\n",
            "                                                                                                                        ['politics', 'education', 'miscellaneous', 'world']       0.00      0.00      0.00         4\n",
            "                                                                                                                  ['politics', 'education', 'national', 'Health___Fitness']       0.00      0.00      0.00         4\n",
            "                                                                                                                                      ['politics', 'education', 'national']       1.00      0.20      0.34       113\n",
            "                                                                                                                             ['politics', 'education', 'world', 'national']       0.00      0.00      0.00         2\n",
            "                                                                                                                           ['politics', 'education', 'world', 'technology']       0.00      0.00      0.00         1\n",
            "                                                                                                                                                  ['politics', 'education']       0.00      0.00      0.00        10\n",
            "                                                                                                                                  ['politics', 'entertainment', 'national']       0.00      0.00      0.00        34\n",
            "                                                                                                                                              ['politics', 'entertainment']       0.00      0.00      0.00        55\n",
            "                                                                                                            ['politics', 'hatke', 'education', 'miscellaneous', 'national']       0.00      0.00      0.00         9\n",
            "                                                                                                                   ['politics', 'hatke', 'education', 'national', 'travel']       1.00      1.00      1.00        11\n",
            "                                                                                                                             ['politics', 'hatke', 'education', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                                                     ['politics', 'hatke', 'miscellaneous']       0.00      0.00      0.00         1\n",
            "                                                                                                                                          ['politics', 'hatke', 'national']       0.00      0.00      0.00         9\n",
            "                                                                                                                                                      ['politics', 'hatke']       0.00      0.00      0.00         1\n",
            "                                                                                                              ['politics', 'miscellaneous', 'Health___Fitness', 'national']       0.00      0.00      0.00         6\n",
            "                                                                                                           ['politics', 'miscellaneous', 'business', 'startup', 'national']       0.00      0.00      0.00         4\n",
            "                                                                                                                     ['politics', 'miscellaneous', 'education', 'national']       0.00      0.00      0.00        28\n",
            "                                                                                                                             ['politics', 'miscellaneous', 'entertainment']       0.00      0.00      0.00         7\n",
            "                                                                                                                                  ['politics', 'miscellaneous', 'national']       1.00      0.14      0.24       103\n",
            "                                                                                                                       ['politics', 'miscellaneous', 'science', 'national']       0.00      0.00      0.00         2\n",
            "                                                                                                                                              ['politics', 'miscellaneous']       0.00      0.00      0.00        23\n",
            "                                                                                                                               ['politics', 'national', 'Health___Fitness']       0.00      0.00      0.00        21\n",
            "                                                                                                                               ['politics', 'national', 'Israel-Hamas_War']       0.00      0.00      0.00         3\n",
            "                                                                                                                                          ['politics', 'national', 'facts']       0.00      0.00      0.00         2\n",
            "                                                                                                                                     ['politics', 'national', 'technology']       0.00      0.00      0.00        69\n",
            "                                                                                                                                         ['politics', 'national', 'travel']       0.00      0.00      0.00         9\n",
            "                                                                                                                                                   ['politics', 'national']       0.66      0.73      0.69      2137\n",
            "                                                                                                                                        ['politics', 'science', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                                    ['politics', 'sports', 'Asia_Cup_2023']       0.00      0.00      0.00         4\n",
            "                                                                                                                                 ['politics', 'sports', 'Asian_Games_2022']       0.00      0.00      0.00         2\n",
            "                                                                                                                               ['politics', 'sports', 'ODI_World_Cup_2023']       0.00      0.00      0.00         8\n",
            "                                                                                                                                         ['politics', 'sports', 'national']       0.00      0.00      0.00        21\n",
            "                                                                                                                                                     ['politics', 'sports']       0.00      0.00      0.00        27\n",
            "                                                                                                                                                    ['politics', 'startup']       0.00      0.00      0.00         1\n",
            "                                                                                                                                                 ['politics', 'technology']       0.00      0.00      0.00        27\n",
            "                                                                                                                                  ['politics', 'world', 'Israel-Hamas_War']       0.00      0.00      0.00         3\n",
            "                                                                                                                      ['politics', 'world', 'business', 'Israel-Hamas_War']       0.00      0.00      0.00         3\n",
            "                                                                                                                               ['politics', 'world', 'business', 'fashion']       0.00      0.00      0.00        12\n",
            "                                                      ['politics', 'world', 'education', 'miscellaneous', 'business', 'entertainment', 'science', 'national', 'technology']       0.00      0.00      0.00         7\n",
            "                                                                                                                             ['politics', 'world', 'education', 'national']       0.00      0.00      0.00         2\n",
            "                                                                                                    ['politics', 'world', 'education', 'science', 'national', 'technology']       0.00      0.00      0.00         5\n",
            "                                                                                                                                         ['politics', 'world', 'education']       0.00      0.00      0.00         4\n",
            "                                                                                                                         ['politics', 'world', 'entertainment', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                     ['politics', 'world', 'entertainment']       0.00      0.00      0.00         5\n",
            "                                                                                                                                           ['politics', 'world', 'fashion']       0.00      0.00      0.00         8\n",
            "                                                                                                                      ['politics', 'world', 'national', 'Israel-Hamas_War']       0.00      0.00      0.00        20\n",
            "                                                                                                                                          ['politics', 'world', 'national']       0.00      0.00      0.00        58\n",
            "                                                                                                                                            ['politics', 'world', 'sports']       0.00      0.00      0.00         2\n",
            "                                                                                                                                            ['politics', 'world', 'travel']       0.00      0.00      0.00         5\n",
            "                                                                                                                                                      ['politics', 'world']       0.00      0.00      0.00        84\n",
            "                                                                                                                                                               ['politics']       0.68      0.90      0.77      2223\n",
            "                                                                                                                               ['science', 'Health___Fitness', 'Lifestyle']       0.00      0.00      0.00         3\n",
            "                                                                                                                              ['science', 'Health___Fitness', 'technology']       1.00      0.73      0.84        51\n",
            "                                                                                                                                            ['science', 'Health___Fitness']       0.89      0.97      0.93      1110\n",
            "                                                                                                                                      ['science', 'national', 'technology']       0.00      0.00      0.00        14\n",
            "                                                                                                                                                    ['science', 'national']       1.00      0.20      0.34       293\n",
            "                                                                                                                                                  ['science', 'technology']       1.00      0.29      0.45       270\n",
            "                                                                                                                                                                ['science']       0.69      0.99      0.81      2637\n",
            "                                                                                                                               ['sports', 'Asia_Cup_2023', 'entertainment']       0.00      0.00      0.00         3\n",
            "                                                                                                                                                ['sports', 'Asia_Cup_2023']       0.00      0.00      0.00        40\n",
            "                                                                                                                                             ['sports', 'Asian_Games_2022']       0.98      0.73      0.84       353\n",
            "                                                                                                                                         ['sports', 'Australian_Open_2024']       0.00      0.00      0.00        13\n",
            "                                                                                                                                             ['sports', 'Health___Fitness']       0.00      0.00      0.00         9\n",
            "                                                                                                                       ['sports', 'ODI_World_Cup_2023', 'Asian_Games_2022']       0.00      0.00      0.00         1\n",
            "                                                                                                                       ['sports', 'ODI_World_Cup_2023', 'Israel-Hamas_War']       0.00      0.00      0.00         1\n",
            "                                                                                                                          ['sports', 'ODI_World_Cup_2023', 'entertainment']       0.00      0.00      0.00        31\n",
            "                                                                                                      ['sports', 'ODI_World_Cup_2023', 'national', 'Hockey_World_Cup_2023']       0.00      0.00      0.00         2\n",
            "                                                                                                                               ['sports', 'ODI_World_Cup_2023', 'national']       0.00      0.00      0.00        13\n",
            "                                                                                                                             ['sports', 'ODI_World_Cup_2023', 'technology']       0.00      0.00      0.00         1\n",
            "                                                                                                                                           ['sports', 'ODI_World_Cup_2023']       0.86      0.41      0.56       841\n",
            "                                                                                                                                 ['sports', 'business', 'Health___Fitness']       0.00      0.00      0.00         3\n",
            "                                                                                                                               ['sports', 'business', 'ODI_World_Cup_2023']       0.00      0.00      0.00         1\n",
            "                                                                                                                                         ['sports', 'business', 'national']       0.00      0.00      0.00         6\n",
            "                                                                                                                            ['sports', 'business', 'startup', 'technology']       0.00      0.00      0.00         4\n",
            "                                                                                                                                       ['sports', 'business', 'technology']       0.00      0.00      0.00         2\n",
            "                                                                                                                                                     ['sports', 'business']       0.00      0.00      0.00         6\n",
            "                                                                                                                                    ['sports', 'entertainment', 'national']       0.00      0.00      0.00         2\n",
            "                                                                                                                                  ['sports', 'entertainment', 'technology']       0.00      0.00      0.00         7\n",
            "                                                                                                                                      ['sports', 'entertainment', 'travel']       1.00      1.00      1.00        12\n",
            "                                                                                                                                                ['sports', 'entertainment']       0.00      0.00      0.00       158\n",
            "                                                                                                                                                        ['sports', 'facts']       0.00      0.00      0.00         5\n",
            "                                                                                                                                                      ['sports', 'fashion']       0.00      0.00      0.00        52\n",
            "                                                                                                                                 ['sports', 'national', 'Asian_Games_2022']       0.00      0.00      0.00         3\n",
            "                                                                                                                                           ['sports', 'national', 'travel']       0.00      0.00      0.00        20\n",
            "                                                                                                                                                     ['sports', 'national']       0.00      0.00      0.00       110\n",
            "                                                                                                                                  ['sports', 'science', 'Health___Fitness']       0.00      0.00      0.00         3\n",
            "                                                                                                                                                      ['sports', 'science']       0.00      0.00      0.00         6\n",
            "                                                                                                                                                      ['sports', 'startup']       0.00      0.00      0.00         9\n",
            "                                                                                                                               ['sports', 'technology', 'Asian_Games_2022']       0.00      0.00      0.00         3\n",
            "                                                                                                                                                   ['sports', 'technology']       0.00      0.00      0.00        22\n",
            "                                                                                                                                                       ['sports', 'travel']       0.00      0.00      0.00        11\n",
            "                                                                                                                                                                 ['sports']       0.60      0.94      0.73      2080\n",
            "                                                                                                                              ['startup', 'Health___Fitness', 'technology']       0.00      0.00      0.00         7\n",
            "                                                                                                                                            ['startup', 'Health___Fitness']       1.00      0.58      0.74        53\n",
            "                                                                                                                                            ['startup', 'Israel-Hamas_War']       0.00      0.00      0.00         1\n",
            "                                                                                                                                                   ['startup', 'Lifestyle']       0.00      0.00      0.00         2\n",
            "                                                                                                                                                     ['startup', 'fashion']       1.00      0.80      0.89        20\n",
            "                                                                                                                                ['startup', 'national', 'Health___Fitness']       0.00      0.00      0.00         4\n",
            "                                                                                                                                          ['startup', 'national', 'policy']       0.00      0.00      0.00         1\n",
            "                                                                                                                                          ['startup', 'national', 'travel']       0.00      0.00      0.00        18\n",
            "                                                                                                                                                    ['startup', 'national']       0.00      0.00      0.00        49\n",
            "                                                                                                                                       ['startup', 'science', 'technology']       0.00      0.00      0.00        35\n",
            "                                                                                                                                                     ['startup', 'science']       0.87      0.75      0.81       194\n",
            "                                                                                                                                       ['startup', 'technology', 'fashion']       1.00      0.83      0.91        36\n",
            "                                                                                                                                        ['startup', 'technology', 'policy']       0.00      0.00      0.00         4\n",
            "                                                                                                                                                  ['startup', 'technology']       0.98      0.71      0.82       638\n",
            "                                                                                                                                                      ['startup', 'travel']       0.00      0.00      0.00         8\n",
            "                                                                                                                                                                ['startup']       0.89      0.79      0.84      1395\n",
            "                                                                                                                                         ['technology', 'Israel-Hamas_War']       0.00      0.00      0.00         7\n",
            "                                                                                                                                                  ['technology', 'fashion']       1.00      1.00      1.00        39\n",
            "                                                                                                                                                   ['technology', 'travel']       1.00      0.59      0.74        66\n",
            "                                                                                                                                                             ['technology']       0.74      0.85      0.79      1515\n",
            "                                                                                                                                                                 ['travel']       0.98      0.92      0.95       872\n",
            "                                                                                                                               ['world', 'Coronavirus', 'Health___Fitness']       1.00      0.35      0.52        37\n",
            "                                                                                                                    ['world', 'Coronavirus', 'science', 'Health___Fitness']       0.00      0.00      0.00        18\n",
            "                                                                                                                                         ['world', 'Coronavirus', 'travel']       0.00      0.00      0.00        15\n",
            "                                                                                                                                                   ['world', 'Coronavirus']       0.00      0.00      0.00         4\n",
            "                                                                                                                    ['world', 'Health___Fitness', 'national', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                  ['world', 'Health___Fitness', 'national']       0.00      0.00      0.00         4\n",
            "                                                                                                                                              ['world', 'Health___Fitness']       1.00      0.77      0.87       392\n",
            "                                                                                                                                   ['world', 'Israel-Hamas_War', 'fashion']       0.00      0.00      0.00        16\n",
            "                                                                                                                                              ['world', 'Israel-Hamas_War']       0.98      0.38      0.55       708\n",
            "                                                                                                                                 ['world', 'Lifestyle', 'Health___Fitness']       0.00      0.00      0.00         1\n",
            "                                                                                                                                          ['world', 'Lifestyle', 'fashion']       0.00      0.00      0.00         3\n",
            "                                                                                                                                         ['world', 'Lifestyle', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                   ['world', 'Russia-Ukraine_Conflict', 'Israel-Hamas_War']       0.00      0.00      0.00         4\n",
            "                                                                                                                                       ['world', 'Russia-Ukraine_Conflict']       0.00      0.00      0.00       128\n",
            "                                                                                                                      ['world', 'business', 'Health___Fitness', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                                                  ['world', 'business', 'Health___Fitness']       0.00      0.00      0.00        14\n",
            "                                                                                                                                  ['world', 'business', 'Israel-Hamas_War']       0.00      0.00      0.00        18\n",
            "                                                                                                                           ['world', 'business', 'Russia-Ukraine_Conflict']       0.00      0.00      0.00         1\n",
            "                                                                                                                                     ['world', 'business', 'entertainment']       0.00      0.00      0.00         1\n",
            "                                                                                                                                           ['world', 'business', 'fashion']       1.00      1.00      1.00        13\n",
            "                                                                                                                            ['world', 'business', 'national', 'technology']       0.00      0.00      0.00         5\n",
            "                                                                                                                                          ['world', 'business', 'national']       0.00      0.00      0.00        39\n",
            "                                                                                                                             ['world', 'business', 'startup', 'technology']       0.00      0.00      0.00        41\n",
            "                                                                                                                                           ['world', 'business', 'startup']       0.00      0.00      0.00         8\n",
            "                                                                                                                    ['world', 'business', 'technology', 'Israel-Hamas_War']       0.00      0.00      0.00         3\n",
            "                                                                                                                                        ['world', 'business', 'technology']       0.00      0.00      0.00        24\n",
            "                                                                                                                                 ['world', 'business', 'travel', 'fashion']       1.00      1.00      1.00         8\n",
            "                                                                                                                                            ['world', 'business', 'travel']       1.00      0.87      0.93        62\n",
            "                                                                                                                                                      ['world', 'business']       1.00      0.06      0.11       236\n",
            "                                                                                                                     ['world', 'education', 'business', 'Israel-Hamas_War']       0.00      0.00      0.00        16\n",
            "                                                                                                                                         ['world', 'education', 'business']       0.00      0.00      0.00         2\n",
            "                                                                                                                      ['world', 'education', 'entertainment', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                    ['world', 'education', 'miscellaneous']       0.00      0.00      0.00         7\n",
            "                                                                                                                                         ['world', 'education', 'national']       1.00      0.61      0.76       103\n",
            "                                                                                                                      ['world', 'education', 'science', 'Health___Fitness']       0.00      0.00      0.00         6\n",
            "                                                                                                                                                     ['world', 'education']       1.00      0.77      0.87       162\n",
            "                                                                                                                             ['world', 'entertainment', 'Health___Fitness']       0.00      0.00      0.00         7\n",
            "                                                                                                                             ['world', 'entertainment', 'Israel-Hamas_War']       0.00      0.00      0.00        37\n",
            "                                                                                                                                      ['world', 'entertainment', 'fashion']       1.00      0.21      0.35        47\n",
            "                                                                                                                                     ['world', 'entertainment', 'national']       0.00      0.00      0.00        36\n",
            "                                                                                                                                   ['world', 'entertainment', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                       ['world', 'entertainment', 'travel']       1.00      0.80      0.89        40\n",
            "                                                                                                                                                 ['world', 'entertainment']       0.00      0.00      0.00       137\n",
            "                                                                                                                                                       ['world', 'fashion']       1.00      0.74      0.85       172\n",
            "                                                                                                                             ['world', 'miscellaneous', 'Health___Fitness']       0.00      0.00      0.00         3\n",
            "                                                                                                                             ['world', 'miscellaneous', 'Israel-Hamas_War']       0.00      0.00      0.00         6\n",
            "                                                                                                     ['world', 'miscellaneous', 'ODI_World_Cup_2023', 'sports', 'national']       0.00      0.00      0.00         6\n",
            "                                                                                                                                     ['world', 'miscellaneous', 'business']       0.00      0.00      0.00         4\n",
            "                                                                                                                        ['world', 'miscellaneous', 'education', 'national']       0.00      0.00      0.00        10\n",
            "                                                                                                                                    ['world', 'miscellaneous', 'education']       0.00      0.00      0.00         4\n",
            "                                                                                                                                ['world', 'miscellaneous', 'entertainment']       0.00      0.00      0.00         5\n",
            "                                                                                                                       ['world', 'miscellaneous', 'national', 'technology']       0.00      0.00      0.00         5\n",
            "                                                                                                                                     ['world', 'miscellaneous', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                            ['world', 'miscellaneous', 'science', 'national', 'technology']       0.00      0.00      0.00         6\n",
            "                                                                                                                          ['world', 'miscellaneous', 'science', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                                 ['world', 'miscellaneous', 'sports', 'ODI_World_Cup_2023']       0.00      0.00      0.00         1\n",
            "                                                                                                               ['world', 'miscellaneous', 'technology', 'Israel-Hamas_War']       0.00      0.00      0.00         5\n",
            "                                                                                                                                                 ['world', 'miscellaneous']       0.00      0.00      0.00        91\n",
            "                                                                                                                                  ['world', 'national', 'Health___Fitness']       0.00      0.00      0.00        20\n",
            "                                                                                                                                  ['world', 'national', 'Israel-Hamas_War']       0.00      0.00      0.00        56\n",
            "                                                                                                                           ['world', 'national', 'Russia-Ukraine_Conflict']       0.00      0.00      0.00         1\n",
            "                                                                                                                                        ['world', 'national', 'technology']       0.00      0.00      0.00        11\n",
            "                                                                                                                                            ['world', 'national', 'travel']       1.00      0.65      0.79        78\n",
            "                                                                                                                                                      ['world', 'national']       0.83      0.65      0.73       988\n",
            "                                                                                                                       ['world', 'science', 'Health___Fitness', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                   ['world', 'science', 'Health___Fitness']       1.00      0.27      0.43        66\n",
            "                                                                                                                       ['world', 'science', 'national', 'Health___Fitness']       0.00      0.00      0.00         5\n",
            "                                                                                                                             ['world', 'science', 'national', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                           ['world', 'science', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                                                         ['world', 'science', 'technology']       0.00      0.00      0.00        19\n",
            "                                                                                                                                                       ['world', 'science']       1.00      0.42      0.59       415\n",
            "                                                                                                                                    ['world', 'sports', 'Israel-Hamas_War']       0.00      0.00      0.00         4\n",
            "                                                                                                              ['world', 'sports', 'ODI_World_Cup_2023', 'Israel-Hamas_War']       0.00      0.00      0.00         3\n",
            "                                                                                                                      ['world', 'sports', 'ODI_World_Cup_2023', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                       ['world', 'sports', 'entertainment']       0.00      0.00      0.00         2\n",
            "                                                                                                                                            ['world', 'sports', 'national']       0.00      0.00      0.00         7\n",
            "                                                                                                                                                        ['world', 'sports']       0.00      0.00      0.00        49\n",
            "                                                                                                                              ['world', 'startup', 'science', 'technology']       0.00      0.00      0.00         5\n",
            "                                                                                                                                         ['world', 'startup', 'technology']       0.00      0.00      0.00        10\n",
            "                                                                                                                                                       ['world', 'startup']       0.00      0.00      0.00         2\n",
            "                                                                                                                                ['world', 'technology', 'Israel-Hamas_War']       0.00      0.00      0.00        35\n",
            "                                                                                                                                                    ['world', 'technology']       0.00      0.00      0.00       183\n",
            "                                                                                                                                                        ['world', 'travel']       1.00      0.88      0.94       411\n",
            "                                                                                                                                                                  ['world']       0.53      0.79      0.63      1770\n",
            "\n",
            "                                                                                                                                                                   accuracy                           0.74     59912\n",
            "                                                                                                                                                                  macro avg       0.22      0.16      0.17     59912\n",
            "                                                                                                                                                               weighted avg       0.72      0.74      0.70     59912\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "neHUvv1MZavd"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Linear Support Vector Machine"
      ],
      "metadata": {
        "id": "juDy4HNpZwOc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sgd = Pipeline([\n",
        "    ('vect', CountVectorizer()),\n",
        "    ('tfidf', TfidfTransformer()),\n",
        "    ('clf', SGDClassifier(loss='hinge', penalty='l2', alpha=1e-3, random_state=42, max_iter=5, tol=None))\n",
        "])\n",
        "\n",
        "sgd.fit(x_train, y_train)\n",
        "y_pred = sgd.predict(x_test)\n",
        "\n",
        "print('accuracy %s : ' % accuracy_score(y_pred, y_test))\n",
        "print(classification_report(y_test, y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FHvPtN41ZxIB",
        "outputId": "652a4a3c-4065-4d3a-9af0-e93305b6bd07"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "accuracy 0.830868607290693 : \n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                                                                                                                                                                             precision    recall  f1-score   support\n",
            "\n",
            "                                                                                                                                                ['Asia_Cup_2023', 'sports']       1.00      0.25      0.40        12\n",
            "                                                                                                                                        ['Coronavirus', 'Health___Fitness']       0.93      1.00      0.96        13\n",
            "                                                                                                                            ['Coronavirus', 'national', 'Health___Fitness']       0.97      0.74      0.84        50\n",
            "                                                                                                                                      ['Coronavirus', 'national', 'travel']       0.86      1.00      0.92        18\n",
            "                                                                                                                                                ['Coronavirus', 'national']       1.00      0.33      0.50         6\n",
            "                                                                                                                             ['Coronavirus', 'science', 'Health___Fitness']       0.00      0.00      0.00         3\n",
            "                                                                                                                      ['Feel_Good_Stories', 'Health___Fitness', 'national']       1.00      1.00      1.00         8\n",
            "                                                                                                                        ['Feel_Good_Stories', 'Health___Fitness', 'travel']       1.00      1.00      1.00        23\n",
            "                                                                                                                                  ['Feel_Good_Stories', 'Health___Fitness']       1.00      0.80      0.89        10\n",
            "                                                                                                                   ['Feel_Good_Stories', 'Lifestyle', 'national', 'travel']       1.00      1.00      1.00         2\n",
            "                                                                                                                         ['Feel_Good_Stories', 'business', 'entertainment']       0.00      0.00      0.00         1\n",
            "                                                                                                                               ['Feel_Good_Stories', 'business', 'startup']       1.00      1.00      1.00         2\n",
            "                                                                                                                                ['Feel_Good_Stories', 'business', 'travel']       1.00      1.00      1.00        21\n",
            "                                                                                                                                          ['Feel_Good_Stories', 'business']       1.00      0.75      0.86         4\n",
            "                                                                                                                     ['Feel_Good_Stories', 'education', 'Health___Fitness']       1.00      1.00      1.00        12\n",
            "                                                                                                              ['Feel_Good_Stories', 'education', 'entertainment', 'travel']       1.00      1.00      1.00         6\n",
            "                                                                                                                           ['Feel_Good_Stories', 'education', 'technology']       1.00      1.00      1.00         4\n",
            "                                                                                                                               ['Feel_Good_Stories', 'education', 'travel']       1.00      1.00      1.00        10\n",
            "                                                                                                                                         ['Feel_Good_Stories', 'education']       1.00      1.00      1.00         5\n",
            "                                                                                                                         ['Feel_Good_Stories', 'entertainment', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                                     ['Feel_Good_Stories', 'entertainment']       0.00      0.00      0.00         7\n",
            "                                                                                                                                           ['Feel_Good_Stories', 'fashion']       0.00      0.00      0.00         9\n",
            "                                                                                       ['Feel_Good_Stories', 'hatke', 'education', 'business', 'entertainment', 'national']       1.00      1.00      1.00         5\n",
            "                                                                                         ['Feel_Good_Stories', 'hatke', 'education', 'miscellaneous', 'national', 'travel']       1.00      1.00      1.00        24\n",
            "                                                                                                                    ['Feel_Good_Stories', 'hatke', 'education', 'national']       1.00      1.00      1.00         6\n",
            "                                                                            ['Feel_Good_Stories', 'hatke', 'education', 'world', 'science', 'Health___Fitness', 'national']       1.00      1.00      1.00         9\n",
            "                                                                                                                ['Feel_Good_Stories', 'hatke', 'entertainment', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                            ['Feel_Good_Stories', 'hatke', 'entertainment']       0.00      0.00      0.00         1\n",
            "                                                                                                                                  ['Feel_Good_Stories', 'hatke', 'fashion']       1.00      1.00      1.00        19\n",
            "                                                                                                           ['Feel_Good_Stories', 'hatke', 'miscellaneous', 'entertainment']       0.00      0.00      0.00         3\n",
            "                                                                                                                  ['Feel_Good_Stories', 'hatke', 'miscellaneous', 'travel']       1.00      1.00      1.00        19\n",
            "                                                                                                                            ['Feel_Good_Stories', 'hatke', 'miscellaneous']       1.00      0.54      0.70        13\n",
            "                                                                                                                       ['Feel_Good_Stories', 'hatke', 'national', 'travel']       1.00      1.00      1.00        11\n",
            "                                                                                                                                 ['Feel_Good_Stories', 'hatke', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                   ['Feel_Good_Stories', 'hatke', 'travel']       1.00      1.00      1.00         7\n",
            "                                                                                                                         ['Feel_Good_Stories', 'hatke', 'world', 'fashion']       1.00      1.00      1.00         4\n",
            "                                                                                           ['Feel_Good_Stories', 'hatke', 'world', 'miscellaneous', 'business', 'national']       1.00      1.00      1.00         4\n",
            "                                                                                                              ['Feel_Good_Stories', 'hatke', 'world', 'national', 'travel']       1.00      1.00      1.00         1\n",
            "                                                                                                                        ['Feel_Good_Stories', 'hatke', 'world', 'national']       1.00      1.00      1.00         3\n",
            "                                                                                                                                    ['Feel_Good_Stories', 'hatke', 'world']       0.00      0.00      0.00         4\n",
            "                                                                                                                 ['Feel_Good_Stories', 'miscellaneous', 'Health___Fitness']       1.00      1.00      1.00         1\n",
            "                                                                                                     ['Feel_Good_Stories', 'miscellaneous', 'business', 'Health___Fitness']       1.00      1.00      1.00         4\n",
            "                                                                                                          ['Feel_Good_Stories', 'miscellaneous', 'entertainment', 'travel']       1.00      1.00      1.00        12\n",
            "                                                                                                                    ['Feel_Good_Stories', 'miscellaneous', 'entertainment']       1.00      0.50      0.67         4\n",
            "                                                                                                                          ['Feel_Good_Stories', 'miscellaneous', 'fashion']       0.72      1.00      0.84        13\n",
            "                                                                                                                         ['Feel_Good_Stories', 'miscellaneous', 'national']       0.00      0.00      0.00         4\n",
            "                                                                                                                           ['Feel_Good_Stories', 'miscellaneous', 'travel']       0.96      1.00      0.98        46\n",
            "                                                                                                                 ['Feel_Good_Stories', 'miscellaneous', 'world', 'science']       1.00      1.00      1.00         4\n",
            "                                                                                                                                     ['Feel_Good_Stories', 'miscellaneous']       1.00      0.74      0.85        50\n",
            "                                                                                                                                ['Feel_Good_Stories', 'national', 'travel']       1.00      1.00      1.00        18\n",
            "                                                                                                                                          ['Feel_Good_Stories', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                ['Feel_Good_Stories', 'politics', 'education', 'entertainment', 'national']       1.00      1.00      1.00         4\n",
            "                                                                                                ['Feel_Good_Stories', 'politics', 'education', 'miscellaneous', 'national']       1.00      1.00      1.00         2\n",
            "                                                            ['Feel_Good_Stories', 'politics', 'hatke', 'education', 'miscellaneous', 'entertainment', 'national', 'travel']       0.00      0.00      0.00         1\n",
            "                                                                                       ['Feel_Good_Stories', 'politics', 'hatke', 'education', 'miscellaneous', 'national']       0.88      1.00      0.93         7\n",
            "                                                                                                                                           ['Feel_Good_Stories', 'science']       1.00      1.00      1.00        10\n",
            "                                                                                                  ['Feel_Good_Stories', 'sports', 'Health___Fitness', 'national', 'travel']       1.00      1.00      1.00         8\n",
            "                                                                                                                                ['Feel_Good_Stories', 'sports', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                              ['Feel_Good_Stories', 'sports', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                  ['Feel_Good_Stories', 'sports', 'travel']       1.00      1.00      1.00        11\n",
            "                                                                                                                                            ['Feel_Good_Stories', 'sports']       0.00      0.00      0.00         6\n",
            "                                                                                                                                           ['Feel_Good_Stories', 'startup']       1.00      0.90      0.95        10\n",
            "                                                                                                                                            ['Feel_Good_Stories', 'travel']       1.00      1.00      1.00        98\n",
            "                                                                                                              ['Feel_Good_Stories', 'world', 'miscellaneous', 'technology']       1.00      1.00      1.00         6\n",
            "                                                                                                                            ['Feel_Good_Stories', 'world', 'miscellaneous']       1.00      1.00      1.00         4\n",
            "                                                                                                                                 ['Feel_Good_Stories', 'world', 'national']       1.00      1.00      1.00         1\n",
            "                                                                                                                                  ['Feel_Good_Stories', 'world', 'science']       1.00      0.71      0.83         7\n",
            "                                                                                                                                   ['Feel_Good_Stories', 'world', 'travel']       0.88      1.00      0.94        36\n",
            "                                                                                                                                             ['Feel_Good_Stories', 'world']       1.00      0.38      0.55         8\n",
            "                                                                                                                              ['Health___Fitness', 'Lifestyle', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                            ['Health___Fitness', 'Lifestyle', 'technology']       0.00      0.00      0.00         2\n",
            "                                                                                                                                          ['Health___Fitness', 'Lifestyle']       0.70      0.23      0.34        31\n",
            "                                                                                                                                            ['Health___Fitness', 'fashion']       1.00      1.00      1.00         8\n",
            "                                                                                                                                           ['Health___Fitness', 'national']       0.91      0.84      0.87       249\n",
            "                                                                                                                                         ['Health___Fitness', 'technology']       0.97      0.93      0.95        75\n",
            "                                                                                                                                             ['Health___Fitness', 'travel']       1.00      1.00      1.00        10\n",
            "                                                                                                                                                       ['Health___Fitness']       0.87      0.84      0.86      1164\n",
            "                                                                                                                                          ['Lifestyle', 'Health___Fitness']       1.00      0.21      0.35        19\n",
            "                                                                                                                                                    ['Lifestyle', 'travel']       0.00      0.00      0.00         4\n",
            "                                                                                                                ['ODI_World_Cup_2023', 'business', 'startup', 'technology']       0.00      0.00      0.00         2\n",
            "                                                                                                                                    ['ODI_World_Cup_2023', 'entertainment']       0.00      0.00      0.00         1\n",
            "                                                                                                                                         ['ODI_World_Cup_2023', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                               ['ODI_World_Cup_2023', 'sports', 'business']       0.00      0.00      0.00         2\n",
            "                                                                                                                          ['ODI_World_Cup_2023', 'sports', 'entertainment']       0.00      0.00      0.00         3\n",
            "                                                                                                                               ['ODI_World_Cup_2023', 'sports', 'national']       1.00      0.33      0.50         3\n",
            "                                                                                                                                ['ODI_World_Cup_2023', 'sports', 'startup']       1.00      1.00      1.00         4\n",
            "                                                                                                                             ['ODI_World_Cup_2023', 'sports', 'technology']       0.00      0.00      0.00         1\n",
            "                                                                                                                                           ['ODI_World_Cup_2023', 'sports']       0.87      0.16      0.28       371\n",
            "                                                                                                                                          ['ODI_World_Cup_2023', 'startup']       0.00      0.00      0.00         2\n",
            "                                                                                                                                             ['all', 'metaverse', 'sports']       0.00      0.00      0.00         1\n",
            "                                                                                                                                             ['all', 'myfeed', 'education']       1.00      1.00      1.00         7\n",
            "                                                                                                                            ['all', 'myfeed', 'sports', 'Asian_Games_2022']       0.00      0.00      0.00         2\n",
            "                                                                                                                                    ['all', 'myfeed', 'sports', 'national']       1.00      0.10      0.18        10\n",
            "                                                                                                                                                ['all', 'myfeed', 'sports']       0.00      0.00      0.00         9\n",
            "                                                                                                                                      ['all', 'sports', 'Asian_Games_2022']       0.00      0.00      0.00         1\n",
            "                                                                                                                   ['automobile', 'Feel_Good_Stories', 'hatke', 'national']       1.00      1.00      1.00        11\n",
            "                                                                                                                                    ['automobile', 'business', 'Lifestyle']       0.00      0.00      0.00         3\n",
            "                                                                                                                                     ['automobile', 'business', 'national']       1.00      0.68      0.81        74\n",
            "                                                                                                                                       ['automobile', 'business', 'sports']       0.93      1.00      0.97        14\n",
            "                                                                                                              ['automobile', 'business', 'startup', 'technology', 'travel']       1.00      1.00      1.00        24\n",
            "                                                                                                                        ['automobile', 'business', 'startup', 'technology']       0.91      1.00      0.95        96\n",
            "                                                                                                                                      ['automobile', 'business', 'startup']       0.96      0.95      0.96       260\n",
            "                                                                                                                         ['automobile', 'business', 'technology', 'travel']       0.98      1.00      0.99        47\n",
            "                                                                                                                                   ['automobile', 'business', 'technology']       0.97      0.89      0.93       292\n",
            "                                                                                                                                                 ['automobile', 'business']       0.80      0.99      0.89      2028\n",
            "                                                                                                                                            ['automobile', 'entertainment']       1.00      1.00      1.00         9\n",
            "                                                                                                                                            ['automobile', 'miscellaneous']       1.00      1.00      1.00         6\n",
            "                                                                                                                                                 ['automobile', 'national']       0.97      0.97      0.97       204\n",
            "                                                                                                                       ['automobile', 'politics', 'national', 'technology']       0.91      1.00      0.95        10\n",
            "                                                                                                                                    ['automobile', 'science', 'technology']       1.00      1.00      1.00        13\n",
            "                                                                                                                                                   ['automobile', 'sports']       0.92      1.00      0.96        24\n",
            "                                                                                                                                    ['automobile', 'startup', 'technology']       0.97      1.00      0.98        30\n",
            "                                                                                                                                                  ['automobile', 'startup']       0.99      0.79      0.88       146\n",
            "                                                                                                                           ['automobile', 'technology', 'Israel-Hamas_War']       1.00      1.00      1.00        23\n",
            "                                                                                                                                     ['automobile', 'technology', 'travel']       0.86      1.00      0.92        12\n",
            "                                                                                                                                               ['automobile', 'technology']       0.88      0.96      0.92       548\n",
            "                                                                                                                            ['automobile', 'world', 'business', 'national']       1.00      1.00      1.00         7\n",
            "                                                                                                                                        ['automobile', 'world', 'business']       1.00      1.00      1.00        15\n",
            "                                                                                                                                      ['automobile', 'world', 'technology']       1.00      1.00      1.00         6\n",
            "                                                                                                                                                    ['automobile', 'world']       1.00      0.88      0.93        16\n",
            "                                                                                                                                                             ['automobile']       0.91      0.86      0.88       341\n",
            "                                                                                                                               ['business', 'Health___Fitness', 'national']       1.00      0.76      0.86        21\n",
            "                                                                                                                                           ['business', 'Health___Fitness']       1.00      0.94      0.97        62\n",
            "                                                                                                                                           ['business', 'Israel-Hamas_War']       0.00      0.00      0.00         6\n",
            "                                                                                                                                                  ['business', 'Lifestyle']       0.00      0.00      0.00         1\n",
            "                                                                                                                              ['business', 'ODI_World_Cup_2023', 'startup']       1.00      1.00      1.00         4\n",
            "                                                                                                                                  ['business', 'entertainment', 'national']       1.00      0.82      0.90        11\n",
            "                                                                                                                       ['business', 'entertainment', 'startup', 'national']       0.75      1.00      0.86         6\n",
            "                                                                                                           ['business', 'entertainment', 'startup', 'technology', 'policy']       0.00      0.00      0.00         4\n",
            "                                                                                                                     ['business', 'entertainment', 'startup', 'technology']       1.00      1.00      1.00        17\n",
            "                                                                                                                                   ['business', 'entertainment', 'startup']       1.00      1.00      1.00         4\n",
            "                                                                                                                      ['business', 'entertainment', 'technology', 'policy']       1.00      1.00      1.00         1\n",
            "                                                                                                                                ['business', 'entertainment', 'technology']       0.00      0.00      0.00         6\n",
            "                                                                                                                                              ['business', 'entertainment']       1.00      0.56      0.72        59\n",
            "                                                                                                                                                    ['business', 'fashion']       1.00      0.85      0.92       144\n",
            "                                                                                                                     ['business', 'national', 'Health___Fitness', 'travel']       1.00      1.00      1.00         4\n",
            "                                                                                                                               ['business', 'national', 'Health___Fitness']       1.00      1.00      1.00         4\n",
            "                                                                                                                                        ['business', 'national', 'fashion']       1.00      1.00      1.00         9\n",
            "                                                                                                                                     ['business', 'national', 'technology']       1.00      0.78      0.88        36\n",
            "                                                                                                                                         ['business', 'national', 'travel']       0.94      1.00      0.97        80\n",
            "                                                                                                                                                   ['business', 'national']       0.96      0.54      0.69       381\n",
            "                                                                                                                                         ['business', 'science', 'fashion']       1.00      1.00      1.00        11\n",
            "                                                                                                                                      ['business', 'science', 'technology']       1.00      1.00      1.00        33\n",
            "                                                                                                                                                    ['business', 'science']       1.00      0.81      0.90        16\n",
            "                                                                                                                               ['business', 'sports', 'ODI_World_Cup_2023']       0.00      0.00      0.00         3\n",
            "                                                                                                                                         ['business', 'sports', 'national']       1.00      1.00      1.00         2\n",
            "                                                                                                                            ['business', 'sports', 'startup', 'technology']       1.00      1.00      1.00         4\n",
            "                                                                                                                                       ['business', 'sports', 'technology']       1.00      1.00      1.00         6\n",
            "                                                                                                                                                     ['business', 'sports']       1.00      0.43      0.60        14\n",
            "                                                                                                                  ['business', 'startup', 'Health___Fitness', 'technology']       0.76      1.00      0.86        16\n",
            "                                                                                                                                ['business', 'startup', 'Health___Fitness']       1.00      0.54      0.70        26\n",
            "                                                                                                                                       ['business', 'startup', 'Lifestyle']       0.00      0.00      0.00         2\n",
            "                                                                                                                                         ['business', 'startup', 'fashion']       1.00      1.00      1.00        51\n",
            "                                                                                                                          ['business', 'startup', 'national', 'technology']       0.00      0.00      0.00         5\n",
            "                                                                                                                                        ['business', 'startup', 'national']       1.00      0.74      0.85        39\n",
            "                                                                                                                           ['business', 'startup', 'science', 'technology']       0.99      0.90      0.94       101\n",
            "                                                                                                                                         ['business', 'startup', 'science']       1.00      0.75      0.86        12\n",
            "                                                                                                                             ['business', 'startup', 'technology', 'facts']       1.00      1.00      1.00         5\n",
            "                                                                                                                           ['business', 'startup', 'technology', 'fashion']       0.90      0.70      0.79       184\n",
            "                                                                                                                            ['business', 'startup', 'technology', 'policy']       0.00      0.00      0.00         2\n",
            "                                                                                                                            ['business', 'startup', 'technology', 'travel']       1.00      1.00      1.00        18\n",
            "                                                                                                                                      ['business', 'startup', 'technology']       0.81      0.92      0.86      2112\n",
            "                                                                                                                                          ['business', 'startup', 'travel']       1.00      1.00      1.00        34\n",
            "                                                                                                                                                    ['business', 'startup']       0.95      0.76      0.84       929\n",
            "                                                                                                                             ['business', 'technology', 'Israel-Hamas_War']       1.00      1.00      1.00         2\n",
            "                                                                                                                                                 ['business', 'technology']       0.87      0.86      0.87      1138\n",
            "                                                                                                                                                     ['business', 'travel']       0.75      0.96      0.84       219\n",
            "                                                                                                                                                               ['business']       0.83      0.79      0.81      2094\n",
            "                                                                                                                   ['cryptocurrency', 'business', 'national', 'technology']       1.00      1.00      1.00         2\n",
            "                                                                                                                               ['cryptocurrency', 'business', 'technology']       0.90      0.94      0.92        78\n",
            "                                                                                                                                             ['cryptocurrency', 'business']       0.00      0.00      0.00         3\n",
            "                                                                                                                                           ['cryptocurrency', 'technology']       1.00      0.62      0.77         8\n",
            "                                                                                                                                                ['cryptocurrency', 'world']       0.00      0.00      0.00         1\n",
            "                                                                                                                                          ['education', 'Health___Fitness']       1.00      1.00      1.00         4\n",
            "                                                                                                                        ['education', 'business', 'national', 'technology']       1.00      1.00      1.00         3\n",
            "                                                                                                                                      ['education', 'business', 'national']       1.00      1.00      1.00         5\n",
            "                                                                                                                         ['education', 'business', 'startup', 'technology']       0.88      1.00      0.93        56\n",
            "                                                                                                                                       ['education', 'business', 'startup']       0.95      1.00      0.97        77\n",
            "                                                                                                                                    ['education', 'business', 'technology']       1.00      1.00      1.00         7\n",
            "                                                                                                                                        ['education', 'business', 'travel']       0.92      1.00      0.96        11\n",
            "                                                                                                                                                  ['education', 'business']       1.00      1.00      1.00       123\n",
            "                                                                                                                     ['education', 'miscellaneous', 'business', 'national']       1.00      0.71      0.83        17\n",
            "                                                                                                                      ['education', 'miscellaneous', 'business', 'startup']       1.00      1.00      1.00         7\n",
            "                                                                                       ['education', 'miscellaneous', 'entertainment', 'science', 'national', 'technology']       1.00      1.00      1.00         3\n",
            "                                                                                                                                 ['education', 'miscellaneous', 'national']       1.00      1.00      1.00        21\n",
            "                                                                                                              ['education', 'miscellaneous', 'science', 'Health___Fitness']       1.00      1.00      1.00        15\n",
            "                                                                                                                                   ['education', 'miscellaneous', 'travel']       1.00      1.00      1.00        10\n",
            "                                                                                                                        ['education', 'miscellaneous', 'world', 'national']       1.00      1.00      1.00         5\n",
            "                                                                                                                                             ['education', 'miscellaneous']       1.00      0.83      0.91         6\n",
            "                                                                                                                              ['education', 'national', 'Health___Fitness']       1.00      0.67      0.80        12\n",
            "                                                                                                                                                  ['education', 'national']       0.75      0.97      0.85      1833\n",
            "                                                                                                                         ['education', 'science', 'national', 'technology']       1.00      1.00      1.00         6\n",
            "                                                                                                                                       ['education', 'science', 'national']       1.00      1.00      1.00        12\n",
            "                                                                                                                                     ['education', 'science', 'technology']       0.00      0.00      0.00         3\n",
            "                                                                                                                                       ['education', 'startup', 'national']       1.00      1.00      1.00        17\n",
            "                                                                                                                                     ['education', 'startup', 'technology']       1.00      1.00      1.00        11\n",
            "                                                                                                                                                   ['education', 'startup']       1.00      1.00      1.00        39\n",
            "                                                                                                                                                ['education', 'technology']       1.00      0.85      0.92        26\n",
            "                                                                                                                                                    ['education', 'travel']       0.92      1.00      0.96        12\n",
            "                                                                                                                     ['education', 'world', 'business', 'Israel-Hamas_War']       1.00      1.00      1.00        10\n",
            "                                                                                                                                    ['education', 'world', 'miscellaneous']       1.00      1.00      1.00         6\n",
            "                                                                                                                           ['education', 'world', 'national', 'technology']       1.00      1.00      1.00         2\n",
            "                                                                                                                                         ['education', 'world', 'national']       1.00      0.78      0.88        73\n",
            "                                                                                                                                                     ['education', 'world']       0.93      0.86      0.89       121\n",
            "                                                                                                                                                              ['education']       0.88      0.79      0.83      1174\n",
            "                                                                                                                           ['entertainment', 'Health___Fitness', 'fashion']       1.00      1.00      1.00        13\n",
            "                                                                                                                                      ['entertainment', 'Health___Fitness']       0.90      0.83      0.86        42\n",
            "                                                                                                                                      ['entertainment', 'Israel-Hamas_War']       1.00      0.50      0.67         4\n",
            "                                                                                                                                  ['entertainment', 'Lifestyle', 'fashion']       0.00      0.00      0.00         3\n",
            "                                                                                                                                             ['entertainment', 'Lifestyle']       0.00      0.00      0.00         1\n",
            "                                                                                                                                               ['entertainment', 'fashion']       0.82      1.00      0.90      2133\n",
            "                                                                                                                                ['entertainment', 'national', 'technology']       1.00      0.43      0.60         7\n",
            "                                                                                                                                              ['entertainment', 'national']       0.89      0.34      0.50       311\n",
            "                                                                                                                                               ['entertainment', 'science']       0.00      0.00      0.00         4\n",
            "                                                                                                                                   ['entertainment', 'startup', 'national']       0.89      0.94      0.92        18\n",
            "                                                                                                                       ['entertainment', 'startup', 'technology', 'policy']       0.00      0.00      0.00         4\n",
            "                                                                                                                                 ['entertainment', 'startup', 'technology']       1.00      1.00      1.00         5\n",
            "                                                                                                                                               ['entertainment', 'startup']       1.00      0.75      0.86        12\n",
            "                                                                                                                                            ['entertainment', 'technology']       0.97      0.77      0.86        47\n",
            "                                                                                                                                                ['entertainment', 'travel']       0.64      1.00      0.78         7\n",
            "                                                                                                                                                          ['entertainment']       0.76      0.95      0.85      3329\n",
            "                                                                                                                                                                ['fashion']       0.95      0.79      0.86       954\n",
            "                                                                                                                                  ['hatke', 'Health___Fitness', 'national']       1.00      1.00      1.00         2\n",
            "                                                                                                                                           ['hatke', 'business', 'fashion']       0.94      1.00      0.97        16\n",
            "                                                                                                                                                      ['hatke', 'business']       1.00      0.25      0.40         4\n",
            "                                                                                                                                          ['hatke', 'education', 'fashion']       1.00      1.00      1.00        28\n",
            "                                                                                                                              ['hatke', 'education', 'national', 'fashion']       1.00      1.00      1.00        16\n",
            "                                                                                                                                         ['hatke', 'education', 'national']       1.00      1.00      1.00         2\n",
            "                                                                                                                ['hatke', 'education', 'science', 'national', 'technology']       0.88      1.00      0.93         7\n",
            "                                                                                                                 ['hatke', 'entertainment', 'Health___Fitness', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                           ['hatke', 'entertainment', 'national', 'travel']       1.00      1.00      1.00         2\n",
            "                                                                                                                                     ['hatke', 'entertainment', 'national']       1.00      0.11      0.20         9\n",
            "                                                                                                                                   ['hatke', 'entertainment', 'technology']       1.00      1.00      1.00         2\n",
            "                                                                                                                                                 ['hatke', 'entertainment']       0.00      0.00      0.00         1\n",
            "                                                                                                                                                       ['hatke', 'fashion']       1.00      0.80      0.89        41\n",
            "                                                                                                                             ['hatke', 'miscellaneous', 'Health___Fitness']       0.67      1.00      0.80         2\n",
            "                                                                                                                         ['hatke', 'miscellaneous', 'business', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                                     ['hatke', 'miscellaneous', 'business']       0.00      0.00      0.00         2\n",
            "                                                                                                          ['hatke', 'miscellaneous', 'entertainment', 'national', 'travel']       0.00      0.00      0.00        10\n",
            "                                                                                                                    ['hatke', 'miscellaneous', 'entertainment', 'national']       0.60      1.00      0.75         3\n",
            "                                                                                                                                ['hatke', 'miscellaneous', 'entertainment']       1.00      1.00      1.00         2\n",
            "                                                                                                                       ['hatke', 'miscellaneous', 'national', 'technology']       1.00      1.00      1.00         1\n",
            "                                                                                                                                     ['hatke', 'miscellaneous', 'national']       0.92      0.85      0.88        13\n",
            "                                                                                                                                       ['hatke', 'miscellaneous', 'travel']       1.00      1.00      1.00        20\n",
            "                                                                                                                                                 ['hatke', 'miscellaneous']       0.75      0.47      0.57        58\n",
            "                                                                                                                                  ['hatke', 'national', 'Health___Fitness']       1.00      1.00      1.00         3\n",
            "                                                                                                                                           ['hatke', 'national', 'fashion']       1.00      1.00      1.00         7\n",
            "                                                                                                                                        ['hatke', 'national', 'technology']       1.00      1.00      1.00         4\n",
            "                                                                                                                                            ['hatke', 'national', 'travel']       1.00      0.93      0.97        30\n",
            "                                                                                                                                                      ['hatke', 'national']       0.00      0.00      0.00         5\n",
            "                                                                                                                                                       ['hatke', 'science']       0.00      0.00      0.00         1\n",
            "                                                                                                                                                        ['hatke', 'sports']       0.00      0.00      0.00        27\n",
            "                                                                                                                                                    ['hatke', 'technology']       1.00      0.94      0.97        16\n",
            "                                                                                                                                                        ['hatke', 'travel']       0.92      1.00      0.96        93\n",
            "                                                                                                                                            ['hatke', 'world', 'Lifestyle']       0.00      0.00      0.00         1\n",
            "                                                                                                                                        ['hatke', 'world', 'entertainment']       1.00      1.00      1.00         2\n",
            "                                                                                                                                        ['hatke', 'world', 'miscellaneous']       1.00      0.88      0.93         8\n",
            "                                                                                                                         ['hatke', 'world', 'national', 'Health___Fitness']       0.00      0.00      0.00         8\n",
            "                                                                                                                                             ['hatke', 'world', 'national']       1.00      0.80      0.89         5\n",
            "                                                                                                                                           ['hatke', 'world', 'technology']       1.00      1.00      1.00         4\n",
            "                                                                                                                                                         ['hatke', 'world']       1.00      0.35      0.52        20\n",
            "                                                                                                                                    ['metaverse', 'business', 'technology']       0.00      0.00      0.00         2\n",
            "                                                                                                                                   ['metaverse', 'education', 'technology']       1.00      1.00      1.00         5\n",
            "                                                                                                                                                  ['metaverse', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                                      ['miscellaneous', 'Health___Fitness']       0.96      0.96      0.96        50\n",
            "                                                                                                                         ['miscellaneous', 'Lifestyle', 'Health___Fitness']       1.00      0.67      0.80         6\n",
            "                                                                                                                                             ['miscellaneous', 'Lifestyle']       1.00      0.39      0.56        18\n",
            "                                                                                                              ['miscellaneous', 'ODI_World_Cup_2023', 'sports', 'national']       0.00      0.00      0.00         2\n",
            "                                                                                                                                    ['miscellaneous', 'ODI_World_Cup_2023']       0.00      0.00      0.00         2\n",
            "                                                                                                                       ['miscellaneous', 'business', 'startup', 'national']       1.00      1.00      1.00         6\n",
            "                                                                                                                                   ['miscellaneous', 'business', 'startup']       1.00      0.50      0.67        10\n",
            "                                                                                                                                              ['miscellaneous', 'business']       1.00      0.73      0.84        11\n",
            "                                                                                                                                 ['miscellaneous', 'education', 'national']       1.00      1.00      1.00         6\n",
            "                                                                                                                                             ['miscellaneous', 'education']       1.00      1.00      1.00         6\n",
            "                                                                                                                              ['miscellaneous', 'entertainment', 'fashion']       1.00      0.62      0.77        32\n",
            "                                                                                                                               ['miscellaneous', 'entertainment', 'travel']       1.00      1.00      1.00        13\n",
            "                                                                                                                                         ['miscellaneous', 'entertainment']       1.00      0.15      0.26        40\n",
            "                                                                                                                                               ['miscellaneous', 'fashion']       1.00      1.00      1.00        15\n",
            "                                                                                                                          ['miscellaneous', 'national', 'Health___Fitness']       1.00      1.00      1.00         1\n",
            "                                                                                                                     ['miscellaneous', 'national', 'technology', 'fashion']       0.90      1.00      0.95         9\n",
            "                                                                                                                                ['miscellaneous', 'national', 'technology']       1.00      1.00      1.00        21\n",
            "                                                                                                                                              ['miscellaneous', 'national']       0.96      0.74      0.84       103\n",
            "                                                                                                               ['miscellaneous', 'science', 'national', 'Health___Fitness']       1.00      1.00      1.00         3\n",
            "                                                                                                                                               ['miscellaneous', 'science']       0.00      0.00      0.00         8\n",
            "                                                                                                                                                ['miscellaneous', 'sports']       1.00      1.00      1.00        12\n",
            "                                                                                                                                               ['miscellaneous', 'startup']       1.00      1.00      1.00         5\n",
            "                                                                                                                                            ['miscellaneous', 'technology']       1.00      0.82      0.90        22\n",
            "                                                                                                                                                ['miscellaneous', 'travel']       0.98      0.99      0.98       178\n",
            "                                                                                                                             ['miscellaneous', 'world', 'Health___Fitness']       1.00      1.00      1.00         3\n",
            "                                                                                                                                      ['miscellaneous', 'world', 'science']       1.00      1.00      1.00         4\n",
            "                                                                                                                                   ['miscellaneous', 'world', 'technology']       1.00      1.00      1.00         3\n",
            "                                                                                                                                                 ['miscellaneous', 'world']       1.00      1.00      1.00         7\n",
            "                                                                                                                                                          ['miscellaneous']       0.88      0.85      0.87      3074\n",
            "                                                                                                                                   ['myfeed', 'sports', 'Asian_Games_2022']       0.00      0.00      0.00         1\n",
            "                                                                                                                             ['national', 'Health___Fitness', 'technology']       1.00      1.00      1.00         4\n",
            "                                                                                                                                           ['national', 'Health___Fitness']       0.86      0.94      0.90       709\n",
            "                                                                                                                                                  ['national', 'Lifestyle']       0.00      0.00      0.00         3\n",
            "                                                                                                                                                    ['national', 'fashion']       1.00      0.62      0.77        40\n",
            "                                                                                                                                       ['national', 'technology', 'travel']       1.00      1.00      1.00         7\n",
            "                                                                                                                                                 ['national', 'technology']       0.89      0.78      0.83       215\n",
            "                                                                                                                                                     ['national', 'travel']       0.81      0.99      0.89      1342\n",
            "                                                                                                                                                               ['national']       0.83      0.54      0.66      2301\n",
            "                                                                                                ['politics', 'Feel_Good_Stories', 'education', 'miscellaneous', 'national']       0.80      1.00      0.89         4\n",
            "                                                                                                                               ['politics', 'Health___Fitness', 'national']       0.75      0.30      0.43        10\n",
            "                                                                                                                                           ['politics', 'Health___Fitness']       1.00      1.00      1.00        15\n",
            "                                                                                                                                           ['politics', 'Israel-Hamas_War']       1.00      0.11      0.20        27\n",
            "                                                                                                                               ['politics', 'ODI_World_Cup_2023', 'sports']       0.00      0.00      0.00         1\n",
            "                                                                                                                                         ['politics', 'ODI_World_Cup_2023']       0.00      0.00      0.00         3\n",
            "                                                                                                                                       ['politics', 'business', 'national']       1.00      0.61      0.76        41\n",
            "                                                                                                                          ['politics', 'business', 'startup', 'technology']       1.00      1.00      1.00        16\n",
            "                                                                                                                                                   ['politics', 'business']       1.00      0.20      0.33        15\n",
            "                                                                                                                     ['politics', 'education', 'miscellaneous', 'national']       1.00      1.00      1.00        52\n",
            "['politics', 'education', 'miscellaneous', 'sports', 'business', 'entertainment', 'technology', 'automobile', 'Feel_Good_Stories', 'hatke', 'world', 'science', 'national']       0.89      1.00      0.94        16\n",
            "                                                             ['politics', 'education', 'miscellaneous', 'world', 'national', 'Russia-Ukraine_Conflict', 'Israel-Hamas_War']       1.00      1.00      1.00         7\n",
            "                                                                                                                        ['politics', 'education', 'miscellaneous', 'world']       1.00      1.00      1.00         4\n",
            "                                                                                                                  ['politics', 'education', 'national', 'Health___Fitness']       1.00      1.00      1.00         4\n",
            "                                                                                                                                      ['politics', 'education', 'national']       0.99      0.92      0.95       113\n",
            "                                                                                                                             ['politics', 'education', 'world', 'national']       1.00      1.00      1.00         2\n",
            "                                                                                                                           ['politics', 'education', 'world', 'technology']       1.00      1.00      1.00         1\n",
            "                                                                                                                                                  ['politics', 'education']       1.00      1.00      1.00        10\n",
            "                                                                                                                                  ['politics', 'entertainment', 'national']       1.00      0.50      0.67        34\n",
            "                                                                                                                                              ['politics', 'entertainment']       1.00      0.04      0.07        55\n",
            "                                                                                                            ['politics', 'hatke', 'education', 'miscellaneous', 'national']       1.00      1.00      1.00         9\n",
            "                                                                                                                   ['politics', 'hatke', 'education', 'national', 'travel']       1.00      1.00      1.00        11\n",
            "                                                                                                                             ['politics', 'hatke', 'education', 'national']       1.00      1.00      1.00         5\n",
            "                                                                                                                                     ['politics', 'hatke', 'miscellaneous']       1.00      1.00      1.00         1\n",
            "                                                                                                                                          ['politics', 'hatke', 'national']       1.00      0.11      0.20         9\n",
            "                                                                                                                                                      ['politics', 'hatke']       0.00      0.00      0.00         1\n",
            "                                                                                                              ['politics', 'miscellaneous', 'Health___Fitness', 'national']       1.00      1.00      1.00         6\n",
            "                                                                                                           ['politics', 'miscellaneous', 'business', 'startup', 'national']       1.00      1.00      1.00         4\n",
            "                                                                                                                     ['politics', 'miscellaneous', 'education', 'national']       1.00      1.00      1.00        28\n",
            "                                                                                                                             ['politics', 'miscellaneous', 'entertainment']       0.00      0.00      0.00         7\n",
            "                                                                                                                                  ['politics', 'miscellaneous', 'national']       0.91      0.94      0.92       103\n",
            "                                                                                                                       ['politics', 'miscellaneous', 'science', 'national']       1.00      1.00      1.00         2\n",
            "                                                                                                                                              ['politics', 'miscellaneous']       1.00      0.61      0.76        23\n",
            "                                                                                                                               ['politics', 'national', 'Health___Fitness']       1.00      0.81      0.89        21\n",
            "                                                                                                                               ['politics', 'national', 'Israel-Hamas_War']       0.00      0.00      0.00         3\n",
            "                                                                                                                                          ['politics', 'national', 'facts']       0.00      0.00      0.00         2\n",
            "                                                                                                                                     ['politics', 'national', 'technology']       0.94      0.97      0.96        69\n",
            "                                                                                                                                         ['politics', 'national', 'travel']       1.00      0.89      0.94         9\n",
            "                                                                                                                                                   ['politics', 'national']       0.77      0.49      0.60      2137\n",
            "                                                                                                                                        ['politics', 'science', 'national']       0.00      0.00      0.00         1\n",
            "                                                                                                                                    ['politics', 'sports', 'Asia_Cup_2023']       1.00      1.00      1.00         4\n",
            "                                                                                                                                 ['politics', 'sports', 'Asian_Games_2022']       0.00      0.00      0.00         2\n",
            "                                                                                                                               ['politics', 'sports', 'ODI_World_Cup_2023']       1.00      0.38      0.55         8\n",
            "                                                                                                                                         ['politics', 'sports', 'national']       1.00      0.38      0.55        21\n",
            "                                                                                                                                                     ['politics', 'sports']       1.00      0.26      0.41        27\n",
            "                                                                                                                                                    ['politics', 'startup']       0.00      0.00      0.00         1\n",
            "                                                                                                                                                 ['politics', 'technology']       1.00      0.81      0.90        27\n",
            "                                                                                                                                  ['politics', 'world', 'Israel-Hamas_War']       1.00      0.33      0.50         3\n",
            "                                                                                                                      ['politics', 'world', 'business', 'Israel-Hamas_War']       1.00      1.00      1.00         3\n",
            "                                                                                                                               ['politics', 'world', 'business', 'fashion']       1.00      1.00      1.00        12\n",
            "                                                      ['politics', 'world', 'education', 'miscellaneous', 'business', 'entertainment', 'science', 'national', 'technology']       0.64      1.00      0.78         7\n",
            "                                                                                                                             ['politics', 'world', 'education', 'national']       1.00      1.00      1.00         2\n",
            "                                                                                                    ['politics', 'world', 'education', 'science', 'national', 'technology']       1.00      1.00      1.00         5\n",
            "                                                                                                                                         ['politics', 'world', 'education']       1.00      1.00      1.00         4\n",
            "                                                                                                                         ['politics', 'world', 'entertainment', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                     ['politics', 'world', 'entertainment']       0.00      0.00      0.00         5\n",
            "                                                                                                                                           ['politics', 'world', 'fashion']       1.00      1.00      1.00         8\n",
            "                                                                                                                      ['politics', 'world', 'national', 'Israel-Hamas_War']       0.88      0.70      0.78        20\n",
            "                                                                                                                                          ['politics', 'world', 'national']       0.96      0.81      0.88        58\n",
            "                                                                                                                                            ['politics', 'world', 'sports']       1.00      1.00      1.00         2\n",
            "                                                                                                                                            ['politics', 'world', 'travel']       1.00      1.00      1.00         5\n",
            "                                                                                                                                                      ['politics', 'world']       0.96      0.57      0.72        84\n",
            "                                                                                                                                                               ['politics']       0.63      0.89      0.74      2223\n",
            "                                                                                                                               ['science', 'Health___Fitness', 'Lifestyle']       0.00      0.00      0.00         3\n",
            "                                                                                                                              ['science', 'Health___Fitness', 'technology']       1.00      0.73      0.84        51\n",
            "                                                                                                                                            ['science', 'Health___Fitness']       0.85      0.98      0.91      1110\n",
            "                                                                                                                                      ['science', 'national', 'technology']       1.00      0.43      0.60        14\n",
            "                                                                                                                                                    ['science', 'national']       0.93      0.69      0.79       293\n",
            "                                                                                                                                                  ['science', 'technology']       0.99      0.60      0.75       270\n",
            "                                                                                                                                                                ['science']       0.79      0.97      0.87      2637\n",
            "                                                                                                                               ['sports', 'Asia_Cup_2023', 'entertainment']       1.00      1.00      1.00         3\n",
            "                                                                                                                                                ['sports', 'Asia_Cup_2023']       0.90      0.23      0.36        40\n",
            "                                                                                                                                             ['sports', 'Asian_Games_2022']       0.71      0.99      0.82       353\n",
            "                                                                                                                                         ['sports', 'Australian_Open_2024']       0.00      0.00      0.00        13\n",
            "                                                                                                                                             ['sports', 'Health___Fitness']       1.00      1.00      1.00         9\n",
            "                                                                                                                       ['sports', 'ODI_World_Cup_2023', 'Asian_Games_2022']       0.00      0.00      0.00         1\n",
            "                                                                                                                       ['sports', 'ODI_World_Cup_2023', 'Israel-Hamas_War']       0.00      0.00      0.00         1\n",
            "                                                                                                                          ['sports', 'ODI_World_Cup_2023', 'entertainment']       1.00      0.16      0.28        31\n",
            "                                                                                                      ['sports', 'ODI_World_Cup_2023', 'national', 'Hockey_World_Cup_2023']       0.00      0.00      0.00         2\n",
            "                                                                                                                               ['sports', 'ODI_World_Cup_2023', 'national']       1.00      0.31      0.47        13\n",
            "                                                                                                                             ['sports', 'ODI_World_Cup_2023', 'technology']       0.00      0.00      0.00         1\n",
            "                                                                                                                                           ['sports', 'ODI_World_Cup_2023']       0.64      0.89      0.74       841\n",
            "                                                                                                                                 ['sports', 'business', 'Health___Fitness']       1.00      1.00      1.00         3\n",
            "                                                                                                                               ['sports', 'business', 'ODI_World_Cup_2023']       1.00      1.00      1.00         1\n",
            "                                                                                                                                         ['sports', 'business', 'national']       1.00      0.33      0.50         6\n",
            "                                                                                                                            ['sports', 'business', 'startup', 'technology']       0.00      0.00      0.00         4\n",
            "                                                                                                                                       ['sports', 'business', 'technology']       1.00      1.00      1.00         2\n",
            "                                                                                                                                                     ['sports', 'business']       1.00      0.17      0.29         6\n",
            "                                                                                                                                    ['sports', 'entertainment', 'national']       1.00      1.00      1.00         2\n",
            "                                                                                                                                  ['sports', 'entertainment', 'technology']       1.00      1.00      1.00         7\n",
            "                                                                                                                                      ['sports', 'entertainment', 'travel']       1.00      1.00      1.00        12\n",
            "                                                                                                                                                ['sports', 'entertainment']       0.83      0.13      0.22       158\n",
            "                                                                                                                                                        ['sports', 'facts']       0.00      0.00      0.00         5\n",
            "                                                                                                                                                      ['sports', 'fashion']       0.98      0.94      0.96        52\n",
            "                                                                                                                                 ['sports', 'national', 'Asian_Games_2022']       0.00      0.00      0.00         3\n",
            "                                                                                                                                           ['sports', 'national', 'travel']       1.00      1.00      1.00        20\n",
            "                                                                                                                                                     ['sports', 'national']       0.77      0.31      0.44       110\n",
            "                                                                                                                                  ['sports', 'science', 'Health___Fitness']       1.00      1.00      1.00         3\n",
            "                                                                                                                                                      ['sports', 'science']       1.00      1.00      1.00         6\n",
            "                                                                                                                                                      ['sports', 'startup']       1.00      0.67      0.80         9\n",
            "                                                                                                                               ['sports', 'technology', 'Asian_Games_2022']       0.00      0.00      0.00         3\n",
            "                                                                                                                                                   ['sports', 'technology']       1.00      0.77      0.87        22\n",
            "                                                                                                                                                       ['sports', 'travel']       1.00      1.00      1.00        11\n",
            "                                                                                                                                                                 ['sports']       0.79      0.84      0.81      2080\n",
            "                                                                                                                              ['startup', 'Health___Fitness', 'technology']       1.00      0.29      0.44         7\n",
            "                                                                                                                                            ['startup', 'Health___Fitness']       1.00      0.94      0.97        53\n",
            "                                                                                                                                            ['startup', 'Israel-Hamas_War']       0.00      0.00      0.00         1\n",
            "                                                                                                                                                   ['startup', 'Lifestyle']       1.00      1.00      1.00         2\n",
            "                                                                                                                                                     ['startup', 'fashion']       0.78      0.90      0.84        20\n",
            "                                                                                                                                ['startup', 'national', 'Health___Fitness']       1.00      1.00      1.00         4\n",
            "                                                                                                                                          ['startup', 'national', 'policy']       1.00      1.00      1.00         1\n",
            "                                                                                                                                          ['startup', 'national', 'travel']       1.00      1.00      1.00        18\n",
            "                                                                                                                                                    ['startup', 'national']       0.92      0.92      0.92        49\n",
            "                                                                                                                                       ['startup', 'science', 'technology']       1.00      0.29      0.44        35\n",
            "                                                                                                                                                     ['startup', 'science']       0.77      0.82      0.79       194\n",
            "                                                                                                                                       ['startup', 'technology', 'fashion']       0.94      0.83      0.88        36\n",
            "                                                                                                                                        ['startup', 'technology', 'policy']       1.00      0.50      0.67         4\n",
            "                                                                                                                                                  ['startup', 'technology']       0.88      0.90      0.89       638\n",
            "                                                                                                                                                      ['startup', 'travel']       1.00      1.00      1.00         8\n",
            "                                                                                                                                                                ['startup']       0.89      0.83      0.86      1395\n",
            "                                                                                                                                         ['technology', 'Israel-Hamas_War']       1.00      0.71      0.83         7\n",
            "                                                                                                                                                  ['technology', 'fashion']       1.00      1.00      1.00        39\n",
            "                                                                                                                                                   ['technology', 'travel']       0.97      1.00      0.99        66\n",
            "                                                                                                                                                             ['technology']       0.90      0.84      0.87      1515\n",
            "                                                                                                                                                                 ['travel']       0.90      0.95      0.93       872\n",
            "                                                                                                                               ['world', 'Coronavirus', 'Health___Fitness']       0.95      1.00      0.97        37\n",
            "                                                                                                                    ['world', 'Coronavirus', 'science', 'Health___Fitness']       1.00      1.00      1.00        18\n",
            "                                                                                                                                         ['world', 'Coronavirus', 'travel']       1.00      1.00      1.00        15\n",
            "                                                                                                                                                   ['world', 'Coronavirus']       0.00      0.00      0.00         4\n",
            "                                                                                                                    ['world', 'Health___Fitness', 'national', 'technology']       1.00      1.00      1.00         3\n",
            "                                                                                                                                  ['world', 'Health___Fitness', 'national']       1.00      1.00      1.00         4\n",
            "                                                                                                                                              ['world', 'Health___Fitness']       0.97      0.91      0.94       392\n",
            "                                                                                                                                   ['world', 'Israel-Hamas_War', 'fashion']       0.76      1.00      0.86        16\n",
            "                                                                                                                                              ['world', 'Israel-Hamas_War']       0.66      0.89      0.76       708\n",
            "                                                                                                                                 ['world', 'Lifestyle', 'Health___Fitness']       0.00      0.00      0.00         1\n",
            "                                                                                                                                          ['world', 'Lifestyle', 'fashion']       0.00      0.00      0.00         3\n",
            "                                                                                                                                         ['world', 'Lifestyle', 'national']       1.00      1.00      1.00         1\n",
            "                                                                                                                   ['world', 'Russia-Ukraine_Conflict', 'Israel-Hamas_War']       1.00      0.50      0.67         4\n",
            "                                                                                                                                       ['world', 'Russia-Ukraine_Conflict']       0.82      0.83      0.82       128\n",
            "                                                                                                                      ['world', 'business', 'Health___Fitness', 'national']       1.00      1.00      1.00         5\n",
            "                                                                                                                                  ['world', 'business', 'Health___Fitness']       1.00      1.00      1.00        14\n",
            "                                                                                                                                  ['world', 'business', 'Israel-Hamas_War']       1.00      0.67      0.80        18\n",
            "                                                                                                                           ['world', 'business', 'Russia-Ukraine_Conflict']       1.00      1.00      1.00         1\n",
            "                                                                                                                                     ['world', 'business', 'entertainment']       1.00      1.00      1.00         1\n",
            "                                                                                                                                           ['world', 'business', 'fashion']       0.93      1.00      0.96        13\n",
            "                                                                                                                            ['world', 'business', 'national', 'technology']       1.00      1.00      1.00         5\n",
            "                                                                                                                                          ['world', 'business', 'national']       1.00      0.59      0.74        39\n",
            "                                                                                                                             ['world', 'business', 'startup', 'technology']       1.00      1.00      1.00        41\n",
            "                                                                                                                                           ['world', 'business', 'startup']       1.00      0.88      0.93         8\n",
            "                                                                                                                    ['world', 'business', 'technology', 'Israel-Hamas_War']       0.67      0.67      0.67         3\n",
            "                                                                                                                                        ['world', 'business', 'technology']       0.95      0.83      0.89        24\n",
            "                                                                                                                                 ['world', 'business', 'travel', 'fashion']       1.00      1.00      1.00         8\n",
            "                                                                                                                                            ['world', 'business', 'travel']       0.93      0.87      0.90        62\n",
            "                                                                                                                                                      ['world', 'business']       0.96      0.63      0.76       236\n",
            "                                                                                                                     ['world', 'education', 'business', 'Israel-Hamas_War']       0.89      1.00      0.94        16\n",
            "                                                                                                                                         ['world', 'education', 'business']       0.00      0.00      0.00         2\n",
            "                                                                                                                      ['world', 'education', 'entertainment', 'technology']       1.00      1.00      1.00         3\n",
            "                                                                                                                                    ['world', 'education', 'miscellaneous']       0.00      0.00      0.00         7\n",
            "                                                                                                                                         ['world', 'education', 'national']       0.99      0.96      0.98       103\n",
            "                                                                                                                      ['world', 'education', 'science', 'Health___Fitness']       1.00      1.00      1.00         6\n",
            "                                                                                                                                                     ['world', 'education']       0.98      0.91      0.94       162\n",
            "                                                                                                                             ['world', 'entertainment', 'Health___Fitness']       1.00      0.14      0.25         7\n",
            "                                                                                                                             ['world', 'entertainment', 'Israel-Hamas_War']       1.00      0.51      0.68        37\n",
            "                                                                                                                                      ['world', 'entertainment', 'fashion']       1.00      1.00      1.00        47\n",
            "                                                                                                                                     ['world', 'entertainment', 'national']       1.00      0.44      0.62        36\n",
            "                                                                                                                                   ['world', 'entertainment', 'technology']       1.00      1.00      1.00         3\n",
            "                                                                                                                                       ['world', 'entertainment', 'travel']       0.91      1.00      0.95        40\n",
            "                                                                                                                                                 ['world', 'entertainment']       0.90      0.34      0.49       137\n",
            "                                                                                                                                                       ['world', 'fashion']       0.97      0.97      0.97       172\n",
            "                                                                                                                             ['world', 'miscellaneous', 'Health___Fitness']       1.00      1.00      1.00         3\n",
            "                                                                                                                             ['world', 'miscellaneous', 'Israel-Hamas_War']       1.00      0.67      0.80         6\n",
            "                                                                                                     ['world', 'miscellaneous', 'ODI_World_Cup_2023', 'sports', 'national']       0.00      0.00      0.00         6\n",
            "                                                                                                                                     ['world', 'miscellaneous', 'business']       1.00      1.00      1.00         4\n",
            "                                                                                                                        ['world', 'miscellaneous', 'education', 'national']       1.00      1.00      1.00        10\n",
            "                                                                                                                                    ['world', 'miscellaneous', 'education']       1.00      1.00      1.00         4\n",
            "                                                                                                                                ['world', 'miscellaneous', 'entertainment']       1.00      1.00      1.00         5\n",
            "                                                                                                                       ['world', 'miscellaneous', 'national', 'technology']       1.00      1.00      1.00         5\n",
            "                                                                                                                                     ['world', 'miscellaneous', 'national']       1.00      1.00      1.00         3\n",
            "                                                                                                            ['world', 'miscellaneous', 'science', 'national', 'technology']       0.86      1.00      0.92         6\n",
            "                                                                                                                          ['world', 'miscellaneous', 'science', 'national']       1.00      1.00      1.00         5\n",
            "                                                                                                                 ['world', 'miscellaneous', 'sports', 'ODI_World_Cup_2023']       0.00      0.00      0.00         1\n",
            "                                                                                                               ['world', 'miscellaneous', 'technology', 'Israel-Hamas_War']       1.00      1.00      1.00         5\n",
            "                                                                                                                                                 ['world', 'miscellaneous']       0.96      0.87      0.91        91\n",
            "                                                                                                                                  ['world', 'national', 'Health___Fitness']       0.33      0.10      0.15        20\n",
            "                                                                                                                                  ['world', 'national', 'Israel-Hamas_War']       0.97      0.59      0.73        56\n",
            "                                                                                                                           ['world', 'national', 'Russia-Ukraine_Conflict']       1.00      1.00      1.00         1\n",
            "                                                                                                                                        ['world', 'national', 'technology']       1.00      0.82      0.90        11\n",
            "                                                                                                                                            ['world', 'national', 'travel']       0.91      1.00      0.95        78\n",
            "                                                                                                                                                      ['world', 'national']       0.78      0.85      0.82       988\n",
            "                                                                                                                       ['world', 'science', 'Health___Fitness', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                   ['world', 'science', 'Health___Fitness']       1.00      0.97      0.98        66\n",
            "                                                                                                                       ['world', 'science', 'national', 'Health___Fitness']       0.00      0.00      0.00         5\n",
            "                                                                                                                             ['world', 'science', 'national', 'technology']       1.00      0.67      0.80         3\n",
            "                                                                                                                                           ['world', 'science', 'national']       1.00      1.00      1.00         5\n",
            "                                                                                                                                         ['world', 'science', 'technology']       1.00      0.32      0.48        19\n",
            "                                                                                                                                                       ['world', 'science']       0.96      0.73      0.83       415\n",
            "                                                                                                                                    ['world', 'sports', 'Israel-Hamas_War']       0.00      0.00      0.00         4\n",
            "                                                                                                              ['world', 'sports', 'ODI_World_Cup_2023', 'Israel-Hamas_War']       0.00      0.00      0.00         3\n",
            "                                                                                                                      ['world', 'sports', 'ODI_World_Cup_2023', 'national']       0.00      0.00      0.00         3\n",
            "                                                                                                                                       ['world', 'sports', 'entertainment']       1.00      1.00      1.00         2\n",
            "                                                                                                                                            ['world', 'sports', 'national']       1.00      0.71      0.83         7\n",
            "                                                                                                                                                        ['world', 'sports']       0.90      0.18      0.31        49\n",
            "                                                                                                                              ['world', 'startup', 'science', 'technology']       1.00      1.00      1.00         5\n",
            "                                                                                                                                         ['world', 'startup', 'technology']       1.00      0.50      0.67        10\n",
            "                                                                                                                                                       ['world', 'startup']       1.00      1.00      1.00         2\n",
            "                                                                                                                                ['world', 'technology', 'Israel-Hamas_War']       0.79      0.97      0.87        35\n",
            "                                                                                                                                                    ['world', 'technology']       0.98      0.64      0.77       183\n",
            "                                                                                                                                                        ['world', 'travel']       0.92      0.93      0.93       411\n",
            "                                                                                                                                                                  ['world']       0.87      0.65      0.74      1770\n",
            "\n",
            "                                                                                                                                                                   accuracy                           0.83     59912\n",
            "                                                                                                                                                                  macro avg       0.78      0.69      0.71     59912\n",
            "                                                                                                                                                               weighted avg       0.84      0.83      0.82     59912\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "print('Accuracy:', accuracy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XVnRPKhJbeYA",
        "outputId": "3a28eca7-6682-4cec-c6ae-f91c5f700314"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 0.830868607290693\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.pipeline import Pipeline\n",
        "\n",
        "# Assuming you have your trained model sgd\n",
        "\n",
        "while True:\n",
        "    # Prompt the user to enter a headline\n",
        "    headline = input(\"Enter a headline (or type 'quit' to exit): \")\n",
        "\n",
        "    if headline.lower() == 'quit':\n",
        "        break\n",
        "\n",
        "    # Predict the news category\n",
        "    predicted_category = sgd.predict([headline])\n",
        "\n",
        "    # Print the predicted category\n",
        "    print(\"Predicted category:\", predicted_category[0])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BVaDiy-ddQsv",
        "outputId": "ff1f3e50-1899-4370-9f94-ca52bc6fdf7a"
      },
      "execution_count": 58,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Enter a headline (or type 'quit' to exit): Congress leader Baljinder Singh shot dead at home in Punjab's Moga\n",
            "Predicted category: ['politics']\n",
            "Enter a headline (or type 'quit' to exit): quit\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "bIISQqM5fwps"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}