hashtag_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dependencies\n",
    "import re\n",
    "import json\n",
    "import enchant\n",
    "import datetime\n",
    "import wordninja\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from modules.dataset.tweets import Tweets \n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "years = [2017, 2018, 2019]\n",
    "EN_DICT = enchant.Dict(\"en_US\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hashatag analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Whole dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>tweet_id</th>\n",
       "      <th>tweet_date</th>\n",
       "      <th>tweet_text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>836950901495631872</td>\n",
       "      <td>2017-03-01 14:46:59</td>\n",
       "      <td>TT SINGAPORE 22:46\\n1.Hong Kong\\n2.#JointAddre...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>836950882528989184</td>\n",
       "      <td>2017-03-01 14:46:54</td>\n",
       "      <td>Letting #snapchat prepare me for the day's uns...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>836950869639835649</td>\n",
       "      <td>2017-03-01 14:46:51</td>\n",
       "      <td>\"The bill would require the state to get all o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>836950847380668416</td>\n",
       "      <td>2017-03-01 14:46:46</td>\n",
       "      <td>Style-Lead don't Follow #recycledfashion https...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>836950839101116421</td>\n",
       "      <td>2017-03-01 14:46:44</td>\n",
       "      <td>‘Shell knew’: oil giant's 1991 film warned of ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             tweet_id          tweet_date  \\\n",
       "0  836950901495631872 2017-03-01 14:46:59   \n",
       "1  836950882528989184 2017-03-01 14:46:54   \n",
       "2  836950869639835649 2017-03-01 14:46:51   \n",
       "3  836950847380668416 2017-03-01 14:46:46   \n",
       "4  836950839101116421 2017-03-01 14:46:44   \n",
       "\n",
       "                                          tweet_text  \n",
       "0  TT SINGAPORE 22:46\\n1.Hong Kong\\n2.#JointAddre...  \n",
       "1  Letting #snapchat prepare me for the day's uns...  \n",
       "2  \"The bill would require the state to get all o...  \n",
       "3  Style-Lead don't Follow #recycledfashion https...  \n",
       "4  ‘Shell knew’: oil giant's 1991 film warned of ...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Initialize Tweets class\n",
    "tweets = Tweets()\n",
    "# Fill tweets dataframe\n",
    "tweets.from_json('data/db/tweets.json')\n",
    "\n",
    "tweets.df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compute hashtags occurrences (dict {text : occurrences})\n",
    "hash_counts = {}\n",
    "for y in years: \n",
    "    hash_counts[y] = tweets.get_hashtag_counts(mask = tweets.df.tweet_date.dt.year == y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plot function for hashtag occurrences\n",
    "def plot_hashtags_occurrences(counts, year, n_hash_min = 0, n_hash_max = 20):\n",
    "    # Convert the dictionary in a df, sort it by frequency\n",
    "    hash_df = pd.DataFrame.from_dict(counts.items())\n",
    "    hash_df.columns = [\"hashtag\", \"occurrences\"]\n",
    "    hash_df.sort_values(by=\"occurrences\", ascending=False, inplace=True)\n",
    "\n",
    "    # Plot the barplot with the specified interval of the most frequent hashtags\n",
    "    fig, ax = plt.subplots(1,1,figsize=(15,5))\n",
    "    ax.set_title(\"Hashtag occurrences for {}'s tweets\".format(year), fontsize=15)\n",
    "    hash_df[n_hash_min : n_hash_max].plot(x=\"hashtag\", y=\"occurrences\", kind=\"bar\", ax = ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show hashtag occurences (without climatechange, too high)\n",
    "for y in years:\n",
    "    plot_hashtags_occurrences(hash_counts[y], y, n_hash_min = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Split hashtags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                     word                      split  count_pre  count_post\n",
      "0    ecosystemrestoration      ecosystem restoration          0           1\n",
      "1                  travel                        NaN         16          16\n",
      "2  thefutureisprogressive  the future is progressive          1           0\n",
      "3                  course                        NaN          0           0\n",
      "4                     oh7                       oh 7          1           0\n"
     ]
    }
   ],
   "source": [
    "hashtags = list( set(hash_counts[2017].keys()) | set(hash_counts[2018].keys()) | set(hash_counts[2019].keys()))\n",
    "splittable_words = {}\n",
    "\n",
    "for i, hashtag in enumerate(hashtags):\n",
    "    # define the list of words obtained by splitting the hashtag\n",
    "    hashtag_splitted = wordninja.split(hashtag)\n",
    "    # check if the split consists in more than one word\n",
    "    if (len(hashtag_splitted) > 1) and all([EN_DICT.check(word) for word in hashtag_splitted]):\n",
    "        # save the word and the suggested splitting\n",
    "        splittable_words[i] = [ hashtag,\n",
    "                                ' '.join(hashtag_splitted),\n",
    "                                hash_counts[2018].get(hashtag, 0),\n",
    "                                hash_counts[2019].get(hashtag, 0)\n",
    "                              ]\n",
    "    else:\n",
    "        # save the word with a None\n",
    "        splittable_words[i] = [ hashtag,\n",
    "                                pd.np.nan,\n",
    "                                hash_counts[2018].get(hashtag, 0),\n",
    "                                hash_counts[2019].get(hashtag, 0)\n",
    "                              ]\n",
    "\n",
    "splittable_words = pd.DataFrame.from_dict(splittable_words,\n",
    "                        orient='index',\n",
    "                        columns=[\"word\", \"split\", \"count_pre\", \"count_post\"])\n",
    "\n",
    "print(splittable_words.head())\n",
    "# splittable_words.to_csv('./data/splittable_words.tsv',sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Select most frequent hashtag to be splitted manually"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Join top_hash pre and post\n",
    "top_hash = pd.DataFrame.from_dict(hash_counts[2018], orient='index', columns=['occurrences']).join(\n",
    "           pd.DataFrame.from_dict(hash_counts[2019], orient='index', columns=['occurrences']), \n",
    "           how=\"outer\", lsuffix=\"_pre\", rsuffix=\"_post\")\n",
    "\n",
    "# Remove nans and sum occurrences\n",
    "top_hash[top_hash.isna()] = 0\n",
    "top_hash[\"occurrences\"] = top_hash.occurrences_pre + top_hash.occurrences_post\n",
    "top_hash = pd.DataFrame(top_hash[\"occurrences\"])\n",
    "\n",
    "# Join top_hash pre and post\n",
    "top_hash = top_hash.join(\n",
    "           pd.DataFrame.from_dict(hash_counts[2017], orient='index', columns=['occurrences']), \n",
    "           how=\"outer\", lsuffix=\"_pre\", rsuffix=\"_post\")\n",
    "\n",
    "# Remove nans and sum occurrences\n",
    "top_hash[top_hash.isna()] = 0\n",
    "top_hash[\"occurrences_tot\"] = top_hash.occurrences_pre + top_hash.occurrences_post\n",
    "\n",
    "# Format (and save) the splitted dataset for the top hashtags\n",
    "top_splitted = splittable_words.join(top_hash, on=\"word\", how=\"right\")\n",
    "\n",
    "# Sort the hashtags according to frequency\n",
    "top_splitted = top_splitted.sort_values(by=\"occurrences_tot\", ascending=False)\n",
    "\n",
    "# Remove useless columns\n",
    "top_splitted = top_splitted[[\"word\", \"split\"]].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6382, 2)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_splitted[top_splitted.split.isna()].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add hashtag symbol to the texts\n",
    "top_splitted.loc[:,'word'] = top_splitted.word.apply(lambda x: '#' + x )\n",
    "\n",
    "# Load old splits\n",
    "old_split = {} # manually curated\n",
    "with open('data/hashtag_subs.json', 'r') as file:\n",
    "    old_split = {**old_split, **json.load(file)}\n",
    "old_split = pd.DataFrame.from_dict(old_split, orient = 'index').reset_index().rename(columns = {'index':'word', 0:'split'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>word</th>\n",
       "      <th>split</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>#climatechange</td>\n",
       "      <td>climate change</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>#climate</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>#environment</td>\n",
       "      <td>environment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>#sustainability</td>\n",
       "      <td>sustainability</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>#sdgs</td>\n",
       "      <td>sustainable development goals</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              word                          split\n",
       "0   #climatechange                 climate change\n",
       "1         #climate                        climate\n",
       "2     #environment                    environment\n",
       "3  #sustainability                 sustainability\n",
       "4            #sdgs  sustainable development goals"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Function to substitute already-manually-curated hashtags\n",
    "def sub(row):\n",
    "    if row.word in list(old_split.word.values):\n",
    "        row.split = ''.join(old_split.split[old_split.word == row.word].values)\n",
    "    return row\n",
    "\n",
    "top_splitted = top_splitted.apply(sub, axis = 1)\n",
    "top_splitted.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4763, 2)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_splitted[top_splitted.split.isna()].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select and save top 600 frequent values\n",
    "bottom_splitted = top_splitted[600:]\n",
    "top_splitted = top_splitted[:600]\n",
    "# top_splitted.to_csv(\"data/top_600_hashtags_raw.tsv\", sep='\\t')\n",
    "\n",
    "# Then the hashtags are manually curated and saved in data/hashtags_sub.json'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>word</th>\n",
       "      <th>split</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>#climatechange</td>\n",
       "      <td>climate change</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>#climate</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>#environment</td>\n",
       "      <td>environment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>#sustainability</td>\n",
       "      <td>sustainability</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>#sdgs</td>\n",
       "      <td>sustainable development goals</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              word                          split\n",
       "0   #climatechange                 climate change\n",
       "1         #climate                        climate\n",
       "2     #environment                    environment\n",
       "3  #sustainability                 sustainability\n",
       "4            #sdgs  sustainable development goals"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "split = pd.read_csv(\"data/top_600_hashtags.tsv\", sep='\\t', index_col = 0)\n",
    "split.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>word</th>\n",
       "      <th>split</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>#climatechange</td>\n",
       "      <td>climate change</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>#climate</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>#environment</td>\n",
       "      <td>environment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>#sustainability</td>\n",
       "      <td>sustainability</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>#sdgs</td>\n",
       "      <td>sustainable development goals</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              word                          split\n",
       "0   #climatechange                 climate change\n",
       "1         #climate                        climate\n",
       "2     #environment                    environment\n",
       "3  #sustainability                 sustainability\n",
       "4            #sdgs  sustainable development goals"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "split = pd.concat([split, bottom_splitted], ignore_index = True).fillna('')\n",
    "split.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'#climatechange': 'climate change',\n",
       " '#climate': 'climate',\n",
       " '#environment': 'environment',\n",
       " '#sustainability': 'sustainability',\n",
       " '#sdgs': 'sustainable development goals',\n",
       " '#actonclimate': 'act on climate',\n",
       " '#globalwarming': 'global warming',\n",
       " '#energy': 'energy',\n",
       " '#climateaction': 'climate action',\n",
       " '#cdnpoli': 'canadian politics',\n",
       " '#greennewdeal': 'green new deal',\n",
       " '#science': 'science',\n",
       " '#auspol': 'australian politics',\n",
       " '#solar': 'solar',\n",
       " '#renewables': 'renewables',\n",
       " '#climatestrike': 'climate strike',\n",
       " '#innovation': 'innovation',\n",
       " '#nature': 'nature',\n",
       " '#renewableenergy': 'renewable energy',\n",
       " '#globalgoals': 'global goals',\n",
       " '#tech': 'tech',\n",
       " '#health': 'health',\n",
       " '#keepitintheground': 'keep it in the ground',\n",
       " '#bcpoli': 'british columbia politics',\n",
       " '#pollution': 'pollution',\n",
       " '#fridaysforfuture': 'fridays for future',\n",
       " '#water': 'water',\n",
       " '#stopkm': 'stop kinder morgan',\n",
       " '#ourplanet': 'our planet',\n",
       " '#nokxl': 'no keystone XL pipeline',\n",
       " '#green': 'green',\n",
       " '#p2': 'progressives 2.0',\n",
       " '#education': 'education',\n",
       " '#walrus': 'walrus',\n",
       " '#trump': 'trump',\n",
       " '#sustainable': 'sustainable',\n",
       " '#parisagreement': 'parisagreement',\n",
       " '#arctic': 'arctic',\n",
       " '#panelsnotpipelines': 'panels not pipelines',\n",
       " '#waterislife': 'water is life',\n",
       " '#tcot': 'top conservative on twitter',\n",
       " '#resist': 'resist',\n",
       " '#earth': 'earth',\n",
       " '#epa': 'environmental protection agency',\n",
       " '#csr': 'corporate social responsibility',\n",
       " '#airpollution': 'air pollution',\n",
       " '#technology': 'technology',\n",
       " '#cleanenergy': 'clean energy',\n",
       " '#2a': 'americans second amendment',\n",
       " '#earthday': 'earth day',\n",
       " '#agriculture': 'agriculture',\n",
       " '#conservation': 'conservation',\n",
       " '#climateactionnow': 'climate action now',\n",
       " '#africa': 'africa',\n",
       " '#food': 'food',\n",
       " '#earthhour': 'earth hour',\n",
       " '#co2': 'co2',\n",
       " '#divest': 'divest',\n",
       " '#biodiversity': 'biodiversity',\n",
       " '#coal': 'coal',\n",
       " '#plastic': 'plastic',\n",
       " '#weather': 'weather',\n",
       " '#eco': 'eco',\n",
       " '#climatechangeisreal': 'climate change is real',\n",
       " '#oceans': 'oceans',\n",
       " '#carbon': 'carbon',\n",
       " '#extinctionrebellion': 'extinction rebellion',\n",
       " '#blockchain': 'blockchain',\n",
       " '#go100re': 'global 100 renewable energy platform',\n",
       " '#china': 'china',\n",
       " '#ecofriendly': 'ecofriendly',\n",
       " '#wildlife': 'wildlife',\n",
       " '#development': 'development',\n",
       " '#un': 'un',\n",
       " '#circulareconomy': 'circular economy',\n",
       " '#policy': 'policy',\n",
       " '#ecology': 'ecology',\n",
       " '#zerohunger': 'zero hunger',\n",
       " '#sustainabledevelopment': 'sustainable development',\n",
       " '#india': 'india',\n",
       " '#trees': 'trees',\n",
       " '#humanrights': 'human rights',\n",
       " '#economy': 'economy',\n",
       " '#solarpower': 'solar power',\n",
       " '#climatecrisis': 'climate crisis',\n",
       " '#ai': 'artificial intelligence',\n",
       " '#wind': 'wind',\n",
       " '#recycling': 'recycling',\n",
       " '#cities': 'cities',\n",
       " '#leadership': 'leadership',\n",
       " '#news': 'news',\n",
       " '#agenda2030': 'agenda 2030',\n",
       " '#vegan': 'vegan',\n",
       " '#worldwaterday': 'world water day',\n",
       " '#business': 'business',\n",
       " '#environmental': 'environmental',\n",
       " '#schoolstrike4climate': 'school strike for climate',\n",
       " '#iot': 'internet of things',\n",
       " '#poverty': 'poverty',\n",
       " '#solarenergy': 'solar energy',\n",
       " '#future': 'future',\n",
       " '#forests': 'forests',\n",
       " '#recycle': 'recycle',\n",
       " '#stopadani': 'stop adani',\n",
       " '#plasticfree': 'plastic free',\n",
       " '#women': 'women',\n",
       " '#resilience': 'resilience',\n",
       " '#gogreen': 'go green',\n",
       " '#esg': 'environmental social governance',\n",
       " '#renewable': 'renewable',\n",
       " '#sheffield': 'sheffield',\n",
       " '#womensday': 'womensday',\n",
       " '#plasticpollution': 'plastic pollution',\n",
       " '#climateemergency': 'climate emergency',\n",
       " '#foodsecurity': 'food security',\n",
       " '#saveshefftrees': 'save sheffield trees',\n",
       " '#waste': 'waste',\n",
       " '#jobs': 'jobs',\n",
       " '#travel': 'travel',\n",
       " '#architecture': 'architecture',\n",
       " '#politics': 'politics',\n",
       " '#ameyplc': 'amey',\n",
       " '#genderequality': 'gender equality',\n",
       " '#uklabour': 'uk labour',\n",
       " '#design': 'design',\n",
       " '#sheffcouncil': 'sheffield council',\n",
       " '#ferrovial': 'ferrovial',\n",
       " '#fossilfuels': 'fossil fuels',\n",
       " '#connect2earth': 'connect to earth',\n",
       " '#healthcare': 'healthcare',\n",
       " '#greenenergy': 'green energy',\n",
       " '#emissions': 'emissions',\n",
       " '#climatejustice': 'climate justice',\n",
       " '#environmentaljustice': 'environmental justice',\n",
       " '#security': 'security',\n",
       " '#brexit': 'brexit',\n",
       " '#2030agenda': '2030 agenda',\n",
       " '#foodwaste': 'food waste',\n",
       " '#ev': 'electric vehicles',\n",
       " '#qldpol': 'queensland politics',\n",
       " '#leavenoonebehind': 'leave no one behind',\n",
       " '#peace': 'peace',\n",
       " '#ocean': 'ocean',\n",
       " '#forest': 'forest',\n",
       " '#savetheplanet': 'save the planet',\n",
       " '#children': 'children',\n",
       " '#construction': 'construction',\n",
       " '#internationalwomensday': 'international women day',\n",
       " '#presidenttrump': 'president trump',\n",
       " '#gender': 'gender',\n",
       " '#crypto': 'crypto',\n",
       " '#creativity': 'creativity',\n",
       " '#farming': 'farming',\n",
       " '#energyefficiency': 'energy efficiency',\n",
       " '#migration': 'migration',\n",
       " '#deforestation': 'deforestation',\n",
       " '#cryptocurrency': 'cryptocurrency',\n",
       " '#cleanair': 'clean air',\n",
       " '#organic': 'organic',\n",
       " '#mondaymotivation': 'monday motivation',\n",
       " '#greatbarrierreef': 'great barrier reef',\n",
       " '#usa': 'usa',\n",
       " '#research': 'research',\n",
       " '#animals': 'animals',\n",
       " '#ethereum': 'ethereum',\n",
       " '#iwd2018': 'international women day',\n",
       " '#fracking': 'fracking',\n",
       " '#spreadawareness': 'spread awareness',\n",
       " '#farmers': 'farmers',\n",
       " '#canada': 'canada',\n",
       " '#money': 'money',\n",
       " '#govegan': 'go vegan',\n",
       " '#itstimetochange': 'it is time to change',\n",
       " '#sciencematters': 'science matters',\n",
       " '#engineering': 'engineering',\n",
       " '#oil': 'oil',\n",
       " '#world': 'world',\n",
       " '#corruption': 'corruption',\n",
       " '#transport': 'transport',\n",
       " '#cleantech': 'clean tech',\n",
       " '#photography': 'photography',\n",
       " '#ipcc': 'intergovernmental panel on climate justice',\n",
       " '#infrastructure': 'infrastructure',\n",
       " '#bitcoin': 'bitcoin',\n",
       " '#france': 'france',\n",
       " '#art': 'art',\n",
       " '#planet': 'planet',\n",
       " '#theresistance': 'the resistance',\n",
       " '#adaptation': 'adaptation',\n",
       " '#smartcity': 'smart city',\n",
       " '#electricity': 'electricity',\n",
       " '#nutrition': 'nutrition',\n",
       " '#climatemarch': 'climate march',\n",
       " '#fashion': 'fashion',\n",
       " '#australia': 'australia',\n",
       " '#california': 'california',\n",
       " '#building': 'building',\n",
       " '#worldwildlifeday': 'world wildlife day',\n",
       " '#community': 'community',\n",
       " '#gretathunberg': 'greta thunberg',\n",
       " '#cop24': 'climate change conference',\n",
       " '#change': 'change',\n",
       " '#maga': 'make america great again',\n",
       " '#nuclear': 'nuclear',\n",
       " '#global': 'global',\n",
       " '#smartcities': 'smart cities',\n",
       " '#protectthepacific': 'protect the pacific',\n",
       " '#gfi4sd': 'global festival of ideas for sustainable development',\n",
       " '#transformingourworld': 'transforming our world',\n",
       " '#ico': 'ico',\n",
       " '#earthhour2018': 'earth hour',\n",
       " '#eu': 'eu',\n",
       " '#foodinnovation': 'food innovation',\n",
       " '#schoolstrike': 'school strike',\n",
       " '#greenbuilding': 'green building',\n",
       " '#wednesdaywisdom': 'wednesday wisdom',\n",
       " '#tarsands': 'tarsands',\n",
       " '#germany': 'germany',\n",
       " '#uk': 'uk',\n",
       " '#tourism': 'tourism',\n",
       " '#changeclimatechange': 'change climate change',\n",
       " '#airquality': 'air quality',\n",
       " '#protecttheinlet': 'protect the inlet',\n",
       " '#urban': 'urban',\n",
       " '#spirituality': 'spirituality',\n",
       " '#xumil': 'xumil',\n",
       " '#bigdata': 'big data',\n",
       " '#love': 'love',\n",
       " '#uniteblue': 'unite blue',\n",
       " '#token': 'token',\n",
       " '#zerowaste': 'zero waste',\n",
       " '#carbontax': 'carbon tax',\n",
       " '#abpoli': 'alberta politics',\n",
       " '#teachsdgs': 'teach sustainable development goals',\n",
       " '#soil': 'soil',\n",
       " '#fridaysforfutures': 'fridays for future',\n",
       " '#democrats': 'democrats',\n",
       " '#intlforestday': 'international forest day',\n",
       " '#startups': 'startups',\n",
       " '#worldmetday': 'world met day',\n",
       " '#spring': 'spring',\n",
       " '#yeswecan': 'yes we can',\n",
       " '#methane': 'methane',\n",
       " '#ausvotes2019': 'australian votes 2019',\n",
       " '#geoengineering': 'geoengineering',\n",
       " '#socent': 'social entrepreneurship',\n",
       " '#thursdaythoughts': 'thursday thoughts',\n",
       " '#extinction': 'extinction',\n",
       " '#agw': 'anthropogenic global warming',\n",
       " '#data': 'data',\n",
       " '#progressives': 'progressives',\n",
       " '#drought': 'drought',\n",
       " '#sdg': 'sustainable development goals',\n",
       " '#diversity': 'diversity',\n",
       " '#fish': 'fish',\n",
       " '#opchemtrails': 'chemical trails',\n",
       " '#inequality': 'inequality',\n",
       " '#exxonknew': 'exxonknew',\n",
       " '#insiders': 'insiders',\n",
       " '#onpoli': 'ontario politics',\n",
       " '#startup': 'startup',\n",
       " '#sdg5': 'sustainable development goals',\n",
       " '#digital': 'digital',\n",
       " '#ghg': 'greenhouse gas',\n",
       " '#governance': 'governance',\n",
       " '#investment': 'investment',\n",
       " '#globaldev': 'global development',\n",
       " '#mentalhealth': 'mental health',\n",
       " '#greentech': 'green tech',\n",
       " '#reuse': 'reuse',\n",
       " '#electricvehicles': 'electric vehicles',\n",
       " '#housing': 'housing',\n",
       " '#sealevelrise': 'sea level rise',\n",
       " '#nigeria': 'nigeria',\n",
       " '#inclusion': 'inclusion',\n",
       " '#unfao': 'unfao',\n",
       " '#cycloneidai': 'cyclone idai',\n",
       " '#iwd2019': 'international women day',\n",
       " '#permaculture': 'permaculture',\n",
       " '#europe': 'europe',\n",
       " '#finance': 'finance',\n",
       " '#reading': 'reading',\n",
       " '#power': 'power',\n",
       " '#sdgglobalfest': 'sustainable development goals',\n",
       " '#risk': 'risk',\n",
       " '#supplychain': 'supply chain',\n",
       " '#paris': 'paris',\n",
       " '#healthforall': 'health for all',\n",
       " '#sendaiframework': 'sendai framework',\n",
       " '#fossilfuel': 'fossil fuel',\n",
       " '#agpearthhour': 'adaption good practice earth hour',\n",
       " '#kindermorgan': 'kindermorgan',\n",
       " '#mepolitics': 'maine politics',\n",
       " '#qanda': 'question and answer',\n",
       " '#packaging': 'packaging',\n",
       " '#energiewende': 'energiewende',\n",
       " '#sdg13': 'sustainable development goals',\n",
       " '#youth': 'youth',\n",
       " '#pakistan': 'pakistan',\n",
       " '#notmx': 'no trans mountain pipeline',\n",
       " '#sdg7': 'sustainable development goals',\n",
       " '#gop': 'republican party',\n",
       " '#factsmatter': 'facts matter',\n",
       " '#life': 'life',\n",
       " '#economics': 'economics',\n",
       " '#greencities': 'green cities',\n",
       " '#bigoil': 'big oil',\n",
       " '#culture': 'culture',\n",
       " '#fintech': 'financial technology',\n",
       " '#plantbased': 'plant based',\n",
       " '#sweden': 'sweden',\n",
       " '#wastemanagement': 'waste management',\n",
       " '#plastics': 'plastics',\n",
       " '#demforce': 'democratic force',\n",
       " '#winblue': 'win blue',\n",
       " '#ecocide': 'ecocide',\n",
       " '#scicomm': 'science communication',\n",
       " '#ecosystem': 'ecosystem',\n",
       " '#agpearthhour2018': 'artha graha peduli earth tour 2018',\n",
       " '#wbgmeetings': 'world bank group meetings',\n",
       " '#london': 'london',\n",
       " '#tree': 'tree',\n",
       " '#obama': 'obama',\n",
       " '#norway': 'norway',\n",
       " '#climatescience': 'climate science',\n",
       " '#steamdrills': 'steam drills',\n",
       " '#gpc': 'global pandemic crisis',\n",
       " '#scientists': 'scientists',\n",
       " '#robotics': 'robotics',\n",
       " '#wellbeing': 'well being',\n",
       " '#marchforscience': 'march for science',\n",
       " '#knowledge': 'knowledge',\n",
       " '#investing': 'investing',\n",
       " '#futureofwork': 'future of work',\n",
       " '#population': 'population',\n",
       " '#toronto': 'toronto',\n",
       " '#tesla': 'tesla',\n",
       " '#space': 'space',\n",
       " '#impinv': 'impact investments',\n",
       " '#didyouknow': 'did you know',\n",
       " '#disasters': 'disasters',\n",
       " '#youth2030': 'youth 2030',\n",
       " '#kenya': 'kenya',\n",
       " '#animal': 'animal',\n",
       " '#energytransition': 'energy transition',\n",
       " '#electricvehicle': 'electric vehicle',\n",
       " '#dataviz': 'data visualization',\n",
       " '#transportation': 'transportation',\n",
       " '#hng': 'high energy',\n",
       " '#nodapl': 'no dakota access pipeline',\n",
       " '#participation': 'participation',\n",
       " '#mozambique': 'mozambique',\n",
       " '#liberals': 'liberals',\n",
       " '#natural': 'natural',\n",
       " '#bethechange': 'be the change',\n",
       " '#purpose': 'purpose',\n",
       " '#sustainablefinanceeu': 'sustainablefinanceeu',\n",
       " '#gas': 'gas',\n",
       " '#animalrights': 'animal rights',\n",
       " '#lng': 'lng',\n",
       " '#cambioclimatico': 'cambioclimatico',\n",
       " '#uhc': 'united health care',\n",
       " '#flooding': 'flooding',\n",
       " '#agtech': 'agtech',\n",
       " '#unea4': 'fourth united nations environment assembly',\n",
       " '#antarctica': 'antarctica',\n",
       " '#unitednations': 'united nations',\n",
       " '#lnp': 'liberal national party of queensland',\n",
       " '#criticalthinking': 'critical thinking',\n",
       " '#denmark': 'denmark',\n",
       " '#worldhealthday': 'world health day',\n",
       " '#activism': 'activism',\n",
       " '#resistance': 'resistance',\n",
       " '#fff': 'fridays for future',\n",
       " '#electric': 'electric',\n",
       " '#refugees': 'refugees',\n",
       " '#corpgov': 'corporate governance',\n",
       " '#windpower': 'wind power',\n",
       " '#jesus': 'jesus',\n",
       " '#hoax': 'hoax',\n",
       " '#sciencemarch': 'science march',\n",
       " '#us': 'us',\n",
       " '#management': 'management',\n",
       " '#fridayforfuture': 'friday for future',\n",
       " '#sdgs5and8': 'sustainable development goals five and eight',\n",
       " '#ausvotes': 'australian votes',\n",
       " '#cop21': 'conference of the parties',\n",
       " '#coffee': 'coffee',\n",
       " '#citiesipcc': 'cities intergovernmental panel on climate change',\n",
       " '#environnement': 'environnement',\n",
       " '#solarpanels': 'solar panels',\n",
       " '#america': 'america',\n",
       " '#humanity': 'humanity',\n",
       " '#cleanpowerplan': 'clean power plan',\n",
       " '#free': 'free',\n",
       " '#cleanwater': 'clean water',\n",
       " '#learnclimate': 'learn climate',\n",
       " '#mining': 'mining',\n",
       " '#tuesdaythoughts': 'tuesday thoughts',\n",
       " '#temperature': 'temperature',\n",
       " '#keepitblue': 'keep it blue',\n",
       " '#publichealth': 'public health',\n",
       " '#internationaldayofforests': 'international day of forests',\n",
       " '#law': 'law',\n",
       " '#smartdissent': 'smart dissent',\n",
       " '#talanoa4ambition': 'talanoa for ambition',\n",
       " '#indigenous': 'indigenous',\n",
       " '#guncontrol': 'gun control',\n",
       " '#fakenews': 'fake news',\n",
       " '#ceo': 'ceo',\n",
       " '#racism': 'racism',\n",
       " '#climat': 'climat',\n",
       " '#palmoil': 'palm oil',\n",
       " '#landscape': 'landscape',\n",
       " '#socialjustice': 'social justice',\n",
       " '#savethearctic': 'save the arctic',\n",
       " '#justice': 'justice',\n",
       " '#carbonneutral': 'carbon neutral',\n",
       " '#socialimpact': 'social impact',\n",
       " '#stem': 'stem',\n",
       " '#fishing': 'fishing',\n",
       " '#agpeduli': 'artha graha peduli',\n",
       " '#israel': 'israel',\n",
       " '#actonsdgske': 'act on sustainable development goals kenya',\n",
       " '#values': 'values',\n",
       " '#ipbes6': 'intergovernmental science policy platform on biodiversity and ecosystem services',\n",
       " '#malawi': 'malawi',\n",
       " '#millennials': 'millennials',\n",
       " '#womensrights': \"women's rights\",\n",
       " '#japan': 'japan',\n",
       " '#digitaltransformation': 'digital transformation',\n",
       " '#displacement': 'displacement',\n",
       " '#bees': 'bees',\n",
       " '#ecosystems': 'ecosystems',\n",
       " '#bootpruitt': 'boot pruitt',\n",
       " '#russia': 'russia',\n",
       " '#pv': 'photovoltaic',\n",
       " '#whales': 'whales',\n",
       " '#truth': 'truth',\n",
       " '#wwf': 'wwf',\n",
       " '#sustainablefashion': 'sustainable fashion',\n",
       " '#webinar': 'webinar',\n",
       " '#rainforest': 'rainforest',\n",
       " '#globeforum': 'globe forum',\n",
       " '#pruitt': 'pruitt',\n",
       " '#social': 'social',\n",
       " '#ods': 'ozone depleting substances',\n",
       " '#responsibility': 'responsibility',\n",
       " '#firepruitt': 'fire pruitt',\n",
       " '#awareness': 'awareness',\n",
       " '#impact': 'impact',\n",
       " '#blog': 'blog',\n",
       " '#strike4climate': 'strike for climate',\n",
       " '#wakeup': 'wake up',\n",
       " '#scottpruitt': 'scott pruitt',\n",
       " '#womenshistorymonth': \"women's history month\",\n",
       " '#podcast': 'podcast',\n",
       " '#forestry': 'forestry',\n",
       " '#globalist': 'globalist',\n",
       " '#ethics': 'ethics',\n",
       " '#aquaculture': 'aquaculture',\n",
       " '#lifebelowwater': 'life below water',\n",
       " '#greeneconomy': 'green economy',\n",
       " '#allinwithbernie': 'all in with bernie',\n",
       " '#cancer': 'cancer',\n",
       " '#oilandgas': 'oil and gas',\n",
       " '#impeach45': 'impeach the 45th president',\n",
       " '#solvedifferent': 'solve different',\n",
       " '#ecosocialism': 'ecosocialism',\n",
       " '#sac19': 'seed and chips 19',\n",
       " '#xr': 'extinction rebellion',\n",
       " '#demswork4usa': 'democratics work for usa',\n",
       " '#oneplanetsummit': 'one planet summit',\n",
       " '#automation': 'automation',\n",
       " '#medicare': 'medicare',\n",
       " '#globalhealth': 'global health',\n",
       " '#pacific': 'pacific',\n",
       " '#sustainableenergy': 'sustainable energy',\n",
       " '#sdg6': 'sustainable development goals',\n",
       " '#election2020': 'election 2020',\n",
       " '#innovative': 'innovative',\n",
       " '#tamblingwildlife': 'tambling wildlife',\n",
       " '#5star': 'five star',\n",
       " '#ca48': 'california',\n",
       " '#ncds': 'noncommunicable diseases',\n",
       " '#extremeweather': 'extreme weather',\n",
       " '#bluewave2018': 'blue wave 2018',\n",
       " '#sdg14': 'sustainable development goals ',\n",
       " '#polarbears': 'polar bears',\n",
       " '#saveourplanet': 'save our planet',\n",
       " '#music': 'music',\n",
       " '#mepc72': 'marine environment protection committee 72',\n",
       " '#stopline3': 'stop line three',\n",
       " '#medicaid': 'medicaid',\n",
       " '#teachers': 'teachers',\n",
       " '#employment': 'employment',\n",
       " '#industry': 'industry',\n",
       " '#greenland': 'greenland',\n",
       " '#apfsd': 'sixth asia pacific forum on sustainable development ',\n",
       " '#shipping': 'shipping',\n",
       " '#amazon': 'amazon',\n",
       " '#act4sdgs': 'act for sustainable development goals',\n",
       " '#florida': 'florida',\n",
       " '#fridayfeeling': 'friday feeling',\n",
       " '#pressforprogress': 'press for progress',\n",
       " '#marine': 'marine',\n",
       " '#unfccc': 'united nations framework convention',\n",
       " '#reason': 'reason',\n",
       " '#boomers': 'boomers',\n",
       " '#gardening': 'gardening',\n",
       " '#klimastreik': 'klima streik',\n",
       " '#dyk': 'did you know',\n",
       " '#students': 'students',\n",
       " '#women4climate': 'women for climate',\n",
       " '#evolution': 'evolution',\n",
       " '#phd': 'phd',\n",
       " '#designthinking': 'design thinking',\n",
       " '#time2choose': 'time to choose',\n",
       " '#climatechangestrike': 'climate change strike',\n",
       " '#globalcitizen': 'global citizen',\n",
       " '#survival': 'survival',\n",
       " '#safety': 'safety',\n",
       " '#3dprinting': '3D printing',\n",
       " '#saveourfuture': 'save our future',\n",
       " '#localgov': 'local government',\n",
       " '#urbanplanning': 'urban planning',\n",
       " '#syria': 'syria',\n",
       " '#atheist': 'atheist',\n",
       " '#foodtech': 'food tech',\n",
       " '#action': 'action',\n",
       " '#savetheearth': 'save the earth',\n",
       " '#buildings': 'buildings',\n",
       " '#iwd2017': \"international women's day 2017\",\n",
       " '#birds': 'birds',\n",
       " '#dumpkm': 'dump kilometers',\n",
       " '#board': 'board',\n",
       " '#entrepreneur': 'entrepreneur',\n",
       " '#conference': 'conference',\n",
       " '#sanitation': 'sanitation',\n",
       " '#innovations': 'innovations',\n",
       " '#saveearth': 'save earth',\n",
       " '#climatebreakdown': 'climate breakdown',\n",
       " '#africaclimateweek': 'africa climate week',\n",
       " '#nasa': 'nasa',\n",
       " '#democracy': 'democracy',\n",
       " '#yawn': 'yawn',\n",
       " '#nhs': 'nhs',\n",
       " '#charity': 'charity',\n",
       " '#clean': 'clean',\n",
       " '#saveplanet': 'save planet',\n",
       " '#planning': 'planning',\n",
       " '#smart': 'smart',\n",
       " '#thedrum': 'the drum',\n",
       " '#progress': 'progress',\n",
       " '#nswpol': 'newsouthwales politics',\n",
       " '#wellness': 'wellness',\n",
       " '#antinuc': 'antinuclear',\n",
       " '#endviolence': 'end violence',\n",
       " '#sustainablefinance': 'sustainable finance',\n",
       " '#robot': 'robot',\n",
       " '#publiclands': 'public lands',\n",
       " '#bikes': 'bikes',\n",
       " '#csg': 'carbon solution global',\n",
       " '#philosophy': 'philosophy',\n",
       " '#people': 'people',\n",
       " '#rain': 'rain',\n",
       " '#fisheries': 'fisheries',\n",
       " '#vegetarian': 'vegetarian',\n",
       " '#animalcruelty': 'animal cruelty',\n",
       " '#environnemental': 'environnemental',\n",
       " '#art4climate': 'art 4 climate',\n",
       " '#anthropocene': 'anthropocene',\n",
       " '#sb48bonn': 'climate change conference bonn',\n",
       " '#hiking': 'hiking',\n",
       " '#work': 'work',\n",
       " '#globalwarmingisreal': 'global warming is real',\n",
       " '#adani': 'adani',\n",
       " '#inspiration': 'inspiration',\n",
       " '#sdg16': '',\n",
       " '#colombia': 'colombia',\n",
       " '#wetlands': 'wetlands',\n",
       " '#plants': 'plants',\n",
       " '#diesel': 'diesel',\n",
       " '#sac18': 'sac 18',\n",
       " '#climatesmart': 'climate smart',\n",
       " '#socialmedia': 'social media',\n",
       " '#learn': 'learn',\n",
       " '#philanthropy': 'philanthropy',\n",
       " '#citizenscience': 'citizen science',\n",
       " '#climatehope': 'climate hope',\n",
       " '#rebelforlife': 'rebel for life',\n",
       " '#sids': 'sids',\n",
       " '#1o5c': '1.5 degrees',\n",
       " '#capitalism': 'capitalism',\n",
       " '#youthstrike4climate': 'youth strike for climate',\n",
       " '#iwd': '',\n",
       " '#batmanvotes': 'batman votes',\n",
       " '#schoolstrikeforclimate': 'school strike for climate',\n",
       " '#immigration': 'immigration',\n",
       " '#entrepreneurship': 'entrepreneurship',\n",
       " '#nyc': 'nyc',\n",
       " '#sxsw': 'sxsw',\n",
       " '#african': 'african',\n",
       " '#insurance': 'insurance',\n",
       " '#shellknew': 'shell knew',\n",
       " '#parisaccord': 'paris accord',\n",
       " '#fuel': 'fuel',\n",
       " '#nepal': 'nepal',\n",
       " '#sdg4': '',\n",
       " '#environmentalhealth': 'environmental health',\n",
       " '#efficiency': '',\n",
       " '#sun': '',\n",
       " '#election2018': 'election 2018',\n",
       " '#bioeconomy': 'bio economy',\n",
       " '#flipthesenate': 'flip the senate',\n",
       " '#defendourfuture': 'defend our future',\n",
       " '#ecosystemservices': 'ecosystem services',\n",
       " '#climateelection': 'climate election',\n",
       " '#manufacturing': '',\n",
       " '#soilhealth': 'soil health',\n",
       " '#reduce': '',\n",
       " '#vr': 'vr',\n",
       " '#hunger': 'hunger',\n",
       " '#beach': '',\n",
       " '#god': '',\n",
       " '#trade': 'trade',\n",
       " '#species': 'species',\n",
       " '#outdoors': 'outdoors',\n",
       " '#family': '',\n",
       " '#nopoverty': 'no poverty',\n",
       " '#billiontreetsunami': 'billion tree tsunami',\n",
       " '#wwd2019': 'wwd2019',\n",
       " '#job': 'job',\n",
       " '#schools': 'schools',\n",
       " '#earthday2019': 'earth day 2019',\n",
       " '#poaching': 'poaching',\n",
       " '#chile': '',\n",
       " '#society': 'society',\n",
       " '#ableg': 'alberta legislature',\n",
       " '#psychology': 'psychology',\n",
       " '#budget': 'budget',\n",
       " '#asiapacific': 'asiapacific',\n",
       " '#environmentalism': 'environmentalism',\n",
       " '#options': '',\n",
       " '#beinconvenient': 'be inconvenient',\n",
       " '#lifestyle': 'lifestyle',\n",
       " '#4ir': '',\n",
       " '#carbonfootprint': 'carbon footprint',\n",
       " '#coralbleaching': 'coral bleaching',\n",
       " '#flowers': 'flowers',\n",
       " '#king': '',\n",
       " '#agribusiness': 'agribusiness',\n",
       " '#growth': 'growth',\n",
       " '#scifi': 'scifi',\n",
       " '#interiordesign': 'interior design',\n",
       " '#maldives': 'maldives',\n",
       " '#endangeredspecies': 'endangered species',\n",
       " '#unemployment': 'unemployment',\n",
       " '#land': 'land',\n",
       " '#economic': 'economic',\n",
       " '#income': 'income',\n",
       " '#entrepreneurs': 'entrepreneurs',\n",
       " '#worldpeace': 'world peace',\n",
       " '#fossilfree': 'fossil free',\n",
       " '#aoc': 'alexandria ocasio cortez',\n",
       " '#blue2020': 'blue 2020',\n",
       " '#media': 'media',\n",
       " '#ict': '',\n",
       " '#bagiuntuksemua': '',\n",
       " '#youthclimatestrike': 'youth climate strike',\n",
       " '#clown': 'clown',\n",
       " '#finland': 'finland',\n",
       " '#healthy': 'healthy',\n",
       " '#corporate': '',\n",
       " '#city': 'city',\n",
       " '#foreignpolicy': 'foreign policy',\n",
       " '#earthhour2017': 'earth hour 2017',\n",
       " '#mooc': 'moo c',\n",
       " '#agroecology': 'agroecology',\n",
       " '#sdg12': '',\n",
       " '#yoga': 'yoga',\n",
       " '#disaster': 'disaster',\n",
       " '#fairtrade': '',\n",
       " '#ethicalfashion': 'ethical fashion',\n",
       " '#fbr': 'fbr',\n",
       " '#alaska': 'alaska',\n",
       " '#transparency': 'transparency',\n",
       " '#cambioclimático': '',\n",
       " '#ambiente': 'ambient e',\n",
       " '#oceansummit': 'ocean summit',\n",
       " '#napexpo': 'nap expo',\n",
       " '#sitec': 'site c',\n",
       " '#globalsolutions2019': 'global solutions 2019',\n",
       " '#feedly': '',\n",
       " '#godblessamerica': '',\n",
       " '#thinklandscape': 'think landscape',\n",
       " '#livestock': 'livestock',\n",
       " '#wef19': 'we f 19',\n",
       " '#industrial': '',\n",
       " '#climatetech': 'climate tech',\n",
       " '#returning': '',\n",
       " '#greens': 'greens',\n",
       " '#banks': 'banks',\n",
       " '#balanceforbetter': 'balance for better',\n",
       " '#blacklivesmatter': 'black lives matter',\n",
       " '#marketing': 'marketing',\n",
       " '#tokensale': 'token sale',\n",
       " '#uspolitics': 'us politics',\n",
       " '#scotland': 'scotland',\n",
       " '#trudeau': 'trudeau',\n",
       " '#weekend': 'weekend',\n",
       " '#childrensbooks': 'childrensbooks',\n",
       " '#wilderness': 'wilderness',\n",
       " '#agpeduliclimatechange': '',\n",
       " '#worldnews': 'world news',\n",
       " '#carbonlaw': 'carbon law',\n",
       " '#ecofashion': '',\n",
       " '#sea': 'sea',\n",
       " '#leadonclimate': 'lead on climate',\n",
       " '#peoplesclimate': 'peoples climate',\n",
       " '#wash': 'wash',\n",
       " '#tuesdaymotivation': 'tuesdaymotivation',\n",
       " '#bernie2020': 'bernie 2020',\n",
       " '#climatefinance': 'climate finance',\n",
       " '#saiterm': '',\n",
       " '#glaciers': 'glaciers',\n",
       " '#flood': 'flood',\n",
       " '#deliverforgood': 'deliver for good',\n",
       " '#wwd2018': '',\n",
       " '#ygk': '',\n",
       " '#ngo': 'ngo',\n",
       " '#beastfromtheeast': 'beast from the east',\n",
       " '#windenergy': 'wind energy',\n",
       " '#csw62': '',\n",
       " '#cop23': 'conference of the parties',\n",
       " '#fridaysforfurture': 'fridaysforfurture',\n",
       " '#ag': '',\n",
       " '#youthforclimate': 'youth for climate',\n",
       " '#donaldtrump': 'donaldtrump',\n",
       " '#kindle': 'kindle',\n",
       " '#snow': 'snow',\n",
       " '#swgreen': 'swgreen',\n",
       " '#protest': 'protest',\n",
       " '#glacier': 'glacier',\n",
       " '#nonprofit': 'nonprofit',\n",
       " '#cleanseas': 'cleanse as',\n",
       " '#investors': 'investors',\n",
       " '#envhist': 'en v hist',\n",
       " '#procurement': 'procurement',\n",
       " '#philippines': 'philippines',\n",
       " '#dubai': 'dubai',\n",
       " '#beatplasticpollution': 'beat plastic pollution',\n",
       " '#biodegradable': '',\n",
       " '#partnerships': 'partnerships',\n",
       " '#cosmos': '',\n",
       " '#klimaschutz': 'klimaschutz',\n",
       " '#hambacherforst': '',\n",
       " '#hiv': '',\n",
       " '#artificialintelligence': 'artificial intelligence',\n",
       " '#coralnotcoal': 'coral not coal',\n",
       " '#venezia': '',\n",
       " '#springst': 'springst',\n",
       " '#sydney': 'sydney',\n",
       " '#humanability': 'human ability',\n",
       " '#arcticcouncil': 'arctic council',\n",
       " '#colorado': 'colorado',\n",
       " '#ecologie': '',\n",
       " '#roadsafety': 'road safety',\n",
       " '#beforetheflood': 'before the flood',\n",
       " '#medioambiente': '',\n",
       " '#plasticwaste': 'plastic waste',\n",
       " '#endoil': 'end oil',\n",
       " '#timeisnow': 'time is now',\n",
       " '#treeplanting': 'tree planting',\n",
       " '#earthday2018': 'earth day 2018',\n",
       " '#satisfaction': 'satisfaction',\n",
       " '#cop25': 'cop 25',\n",
       " '#metoo': 'me too',\n",
       " '#regenerativeagriculture': 'regenerative agriculture',\n",
       " '#analytics': 'analytics',\n",
       " '#uganda': 'uganda',\n",
       " '#air': 'air',\n",
       " '#motivationmonday': '',\n",
       " '#affordablehousing': 'affordable housing',\n",
       " '#agritech': 'agritech',\n",
       " '#geographyteacher': 'geography teacher',\n",
       " '#drones': 'drones',\n",
       " '#humandevelopment': 'human development',\n",
       " '#ebooks': 'e books',\n",
       " '#euelections2019': 'eu elections 2019',\n",
       " '#cohesionpolicy': 'cohesion policy',\n",
       " '#keystonepipeline': 'keystone pipeline',\n",
       " '#impactinvesting': 'impact investing',\n",
       " '#insects': 'insects',\n",
       " '#summer': 'summer',\n",
       " '#internationalrebellion': 'international rebellion',\n",
       " '#april1st': '',\n",
       " '#polarbear': 'polar bear',\n",
       " '#environmentalist': 'environmentalist',\n",
       " '#国連': '',\n",
       " '#school': 'school',\n",
       " '#bearsears': 'bears ears',\n",
       " '#lowcarbon': 'low carbon',\n",
       " '#4corners': '4 corners',\n",
       " '#endangered': 'endangered',\n",
       " '#garden': 'garden',\n",
       " '#animalwelfare': 'animal welfare',\n",
       " '#astronomy': '',\n",
       " '#hrtech': 'hr tech',\n",
       " '#nojoke': 'no joke',\n",
       " '#sundaymorning': 'sundaymorning',\n",
       " '#indivisible': '',\n",
       " '#trumprussia': 'trumprussia',\n",
       " '#opendata': 'open data',\n",
       " '#facts': 'facts',\n",
       " '#climatefacts': 'climate facts',\n",
       " '#saveenergy': 'save energy',\n",
       " '#mindfulness': 'mindfulness',\n",
       " '#strategy': '',\n",
       " '#schoolmeals': 'school meals',\n",
       " '#texas': 'texas',\n",
       " '#realestate': 'real estate',\n",
       " '#kids': 'kids',\n",
       " '#workers': 'workers',\n",
       " '#habitat': 'habitat',\n",
       " '#equality': 'equality',\n",
       " '#ethiopia': 'ethiopia',\n",
       " '#mobility': 'mobility',\n",
       " '#floods': 'floods',\n",
       " '#uranium': 'uranium',\n",
       " '#leaders': '',\n",
       " '#elnino': '',\n",
       " '#winter': 'winter',\n",
       " '#sustainabledevelopmentgoals': 'sustainable development goals',\n",
       " '#documentary': 'documentary',\n",
       " '#sharethemeal': 'share the meal',\n",
       " '#noplanetb': 'no planet b',\n",
       " '#energystorage': 'energy storage',\n",
       " '#hrc34': '',\n",
       " '#melbourne': 'melbourne',\n",
       " '#cfo': 'cf o',\n",
       " '#peoplepower': 'people power',\n",
       " '#fridayforfutures': 'fridayforfutures',\n",
       " '#switch2sendai': 'switch2sendai',\n",
       " '#peru': '',\n",
       " '#independent': '',\n",
       " '#sky': '',\n",
       " '#facebook': 'facebook',\n",
       " '#climatemayors': 'climate mayors',\n",
       " '#ethical': 'ethical',\n",
       " '#stopkindermorgan': '',\n",
       " '#local': 'local',\n",
       " '#transition': 'transition',\n",
       " '#homes': '',\n",
       " '#somaliland': '',\n",
       " '#mumbai': 'mumbai',\n",
       " '#cdnsci': 'cdnsci',\n",
       " '#2030now': '2030 now',\n",
       " '#watersecurity': 'water security',\n",
       " '#yanagiman': '',\n",
       " '#sisepuede': '',\n",
       " '#globalcooling': 'global cooling',\n",
       " '#coralreefs': 'coral reefs',\n",
       " '#batterystorage': 'battery storage',\n",
       " '#thorium': '',\n",
       " '#dandelioninsurrection': 'dandelion insurrection',\n",
       " '#exxon': 'exxon',\n",
       " '#elegushi': '',\n",
       " '#swachhbharat': 'swachhbharat',\n",
       " '#equity': 'equity',\n",
       " '#financial': 'financial',\n",
       " '#stopkillinghenharriers': 'stop killing hen harriers',\n",
       " '#boom': 'boom',\n",
       " '#ifcclimate': 'if c climate',\n",
       " '#toomanycows': 'too many cows',\n",
       " '#heatwave': 'heat wave',\n",
       " '#edtech': 'ed tech',\n",
       " '#diabetes': 'diabetes',\n",
       " '#ghana': 'ghana',\n",
       " '#genderequity': 'gender equity',\n",
       " '#farce': 'farce',\n",
       " '#colors': '',\n",
       " '#communities': 'communities',\n",
       " '#aviation': 'aviation',\n",
       " '#learning': 'learning',\n",
       " '#heritage': '',\n",
       " '#aussdgs': '',\n",
       " '#selfies': '',\n",
       " '#endcoal': 'end coal',\n",
       " '#gnd': 'green new deal',\n",
       " '#wealth': '',\n",
       " '#elections2019': 'elections 2019',\n",
       " '#rivers': 'rivers',\n",
       " '#physics': 'physics',\n",
       " '#cybersecurity': 'cybersecurity',\n",
       " '#susty': 'susty',\n",
       " '#putsolaronit': 'put solar on it',\n",
       " '#wtf': 'wtf',\n",
       " '#history': 'history',\n",
       " '#nobelpeaceprize': '',\n",
       " '#unga': '',\n",
       " '#systems': 'systems',\n",
       " '#futurism': '',\n",
       " '#seabirds': 'seabirds',\n",
       " '#kidsbeachgarden': 'kids beach garden',\n",
       " '#berkeley': '',\n",
       " '#poetry': 'poetry',\n",
       " '#climatebarbie': 'climate barbie',\n",
       " '#mexicogp2017': '',\n",
       " '#handmade': '',\n",
       " '#wedonthavetime': 'we dont have time',\n",
       " '#eth': 'eth',\n",
       " '#seafood': 'seafood',\n",
       " '#sundaythoughts': 'sundaythoughts',\n",
       " '#groundwater': 'groundwater',\n",
       " '#literacy': '',\n",
       " '#seedsandchips': 'seeds and chips',\n",
       " '#h2020': 'h 2020',\n",
       " '#zimbabwe': 'zimbabwe',\n",
       " '#populationgrowth': 'population growth',\n",
       " '#loveair': 'love air',\n",
       " '#twitter': 'twitter',\n",
       " '#oilspill': 'oil spill',\n",
       " '#landrights': 'land rights',\n",
       " '#iceage': 'ice age',\n",
       " '#asthma': 'asthma',\n",
       " '#savewater': 'save water',\n",
       " '#undrip': 'undrip',\n",
       " '#marchepourclimat': '',\n",
       " '#uae': '',\n",
       " '#urbanfarming': 'urban farming',\n",
       " '#iceland': 'iceland',\n",
       " '#saveourearth': 'save our earth',\n",
       " '#agpclimatechange': '',\n",
       " '#pollinators': '',\n",
       " '#proptech': 'prop tech',\n",
       " '#localeconomies': 'local economies',\n",
       " '#cleandelhi': 'cleandelhi',\n",
       " '#島谷ひとみ': '',\n",
       " '#cars': 'cars',\n",
       " '#bluepanda': 'blue panda',\n",
       " '#npp': '',\n",
       " '#socialgood': 'social good',\n",
       " '#infographic': 'info graphic',\n",
       " '#home': '',\n",
       " '#justintrudeau': '',\n",
       " '#communication': 'communication',\n",
       " '#religion': 'religion',\n",
       " '#ewaste': 'e waste',\n",
       " '#drr': 'drr',\n",
       " '#tax': 'tax',\n",
       " '#brisbane': '',\n",
       " '#sdg17': 'sdg17',\n",
       " '#sust': '',\n",
       " '#control': 'control',\n",
       " '#beachrestoration': 'beach restoration',\n",
       " '#battery': 'battery',\n",
       " '#retweet': 'retweet',\n",
       " '#mustread': 'must read',\n",
       " '#hlpf': '',\n",
       " '#wildfires': 'wildfires',\n",
       " '#notmypresident': 'not my president',\n",
       " '#csw61': '',\n",
       " '#republicans': 'republicans',\n",
       " '#permafrost': 'permafrost',\n",
       " '#advice': '',\n",
       " '#permaculturenow': 'perm a culture now',\n",
       " '#partnership': 'partnership',\n",
       " '#fao': 'fao',\n",
       " '#schools4climate': 'schools for climate',\n",
       " '#empowerment': 'empowerment',\n",
       " '#baltimore': 'baltimore',\n",
       " '#algore': 'algore',\n",
       " '#restoration': 'restoration',\n",
       " '#amazing': '',\n",
       " '#electriccar': 'electric car',\n",
       " '#saturdaymotivation': 'saturday motivation',\n",
       " '#indonesia': 'indonesia',\n",
       " '#standupforscience': 'stand up for science',\n",
       " '#automotive': '',\n",
       " '#naturephotography': 'nature photography',\n",
       " '#masters': '',\n",
       " '#humans': 'humans',\n",
       " '#snowleopard': 'snow leopard',\n",
       " '#adventure': '',\n",
       " '#bbcaq': 'bbcaq',\n",
       " '#healthbenefits': 'health benefits',\n",
       " '#events': 'events',\n",
       " '#passivehouse': 'passive house',\n",
       " '#progressive': 'progressive',\n",
       " '#biogas': 'biogas',\n",
       " '#sustdev': 'sustdev',\n",
       " '#collaboration': 'collaboration',\n",
       " '#tntweeters': 'tn tweeters',\n",
       " '#dale': '',\n",
       " '#technologies': 'technologies',\n",
       " '#kindness': '',\n",
       " '#heating': 'heating',\n",
       " '#productivity': 'productivity',\n",
       " '#rwanda': 'rwanda',\n",
       " ...}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "split_dict = {}\n",
    "\n",
    "def foo(x, d = split_dict):\n",
    "    d[x.word] = x.split\n",
    "\n",
    "split.apply(foo, axis = 1)\n",
    "\n",
    "split_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save dictionay of substitution for the new hashtags\n",
    "with open('data/hashtag_subs.json', 'w') as fp:\n",
    "    json.dump(split_dict, fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save hashtag for Tomaso\n",
    "for y in hash_counts.keys():\n",
    "    temp = pd.DataFrame.from_dict(hash_counts[y],orient='index').reset_index().rename(columns={'index':'hashtag', 0:'count'})\n",
    "    temp.sort_values(by='count', ascending=False).to_csv('data/hashtags_{}.csv'.format(y), index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save tweet for Bruno\n",
    "tweets.df['year'] = tweets.df.tweet_date.dt.year \n",
    "\n",
    "tweets.df.to_csv('data/tweet_bruno.csv', index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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