{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0c875ce0-80ad-42f3-af90-9bb1c1e53858",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['CO2', 'CSR', 'ESG', 'SDG', 'bio', 'carb', 'challeng', 'chang', 'clean', 'climate', 'eco', 'emissions', 'environment', 'future', 'garbage', 'green', 'methanol', 'mission', 'neutral', 'ocean', 'planet', 'plastic', 'recycling', 'reduc', 'responsib', 'sulphur', 'sustainab', 'zero']\n"
     ]
    }
   ],
   "source": [
    "# load list of words related to sustainability\n",
    "path = 'sustainability_words.txt'\n",
    "word_list = list()\n",
    "with open(path, 'r') as f:\n",
    "    for line in f.readlines():\n",
    "        word_list.append(line.replace('\\n', ''))\n",
    "\n",
    "word_list.sort()\n",
    "print(word_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "99837ffc-0eb7-4e89-87e5-eedbe35219bc",
   "metadata": {
    "tags": []
   },
   "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>counts</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>maersk</td>\n",
       "      <td>3207</td>\n",
       "      <td>0.04001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>is</td>\n",
       "      <td>1025</td>\n",
       "      <td>0.01279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>more</td>\n",
       "      <td>989</td>\n",
       "      <td>0.01234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>here</td>\n",
       "      <td>825</td>\n",
       "      <td>0.01029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>trade</td>\n",
       "      <td>642</td>\n",
       "      <td>0.00801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10920</th>\n",
       "      <td>ritzau</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10921</th>\n",
       "      <td>baan</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10922</th>\n",
       "      <td>indiabased</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10923</th>\n",
       "      <td>occurs</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10924</th>\n",
       "      <td>multicarrier</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10925 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               word  counts    ratio\n",
       "0            maersk    3207  0.04001\n",
       "1                is    1025  0.01279\n",
       "2              more     989  0.01234\n",
       "3              here     825  0.01029\n",
       "4             trade     642  0.00801\n",
       "...             ...     ...      ...\n",
       "10920        ritzau       1  0.00001\n",
       "10921          baan       1  0.00001\n",
       "10922    indiabased       1  0.00001\n",
       "10923        occurs       1  0.00001\n",
       "10924  multicarrier       1  0.00001\n",
       "\n",
       "[10925 rows x 3 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load word counts from tweets\n",
    "import pandas as pd\n",
    "\n",
    "word_df = pd.read_csv('word_count.csv', index_col=0)\n",
    "\n",
    "word_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "57e749a9-3401-4cb5-98b0-ad68098bf5b4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['become', 'becomes', 'becoming', 'blueeconomy', 'changed', 'chinaeconomy', 'deconsolidation', 'decorated', 'decoupling', 'ecommerce', 'ecommercelogistics', 'economia', 'economic', 'economically', 'economicgrowth', 'economictimes', 'economies', 'economist', 'economistimpact', 'economy', 'environments', 'fairfuture4seafarers', 'mclean', 'portrecord', 'recognise', 'recognised', 'recognising', 'recognition', 'recognized', 'record', 'recorded', 'records', 'recovery', 'second', 'secondbusiest', 'secondgeneration', 'secondlargest', 'seconds', 'shetradesglobal', 'socioeconomic', 'telecoms', 'theeconomist', 'transoceanic', 'unchanged', 'worldrecord']\n"
     ]
    }
   ],
   "source": [
    "# load ignore list\n",
    "ignore_list = list()\n",
    "path = 'ignore_words.txt'\n",
    "with open(path, 'r') as f:\n",
    "    for line in f.readlines():\n",
    "        ignore_list.append(line.replace('\\n', ''))\n",
    "        \n",
    "ignore_list.sort()\n",
    "print(ignore_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f2f37c6b-cb1f-4c71-aa24-9601d5bfe7b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CO2\n",
      "['co2', 'co2neutral', 'co2emission']\n",
      "3390.0\n",
      "2275.0\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "match_word_list = list()\n",
    "mean_idx_list = list()\n",
    "sigma_idx_list = list()\n",
    "for i, word in enumerate(word_list):\n",
    "    # find index of matching words\n",
    "    contains_word_mask = word_df['word'].str.contains(word.lower())==True\n",
    "    counts_above_limit_mask = word_df['counts'].gt(1)\n",
    "    match_mask = contains_word_mask & counts_above_limit_mask\n",
    "    match_idx_list = word_df[match_mask].index.tolist()\n",
    "    # remove indices of unwanted words\n",
    "    remove_idx_list = list()\n",
    "    for idx in match_idx_list:\n",
    "        match_word = word_df.loc[idx, 'word']\n",
    "        if match_word in ignore_list:\n",
    "            remove_idx_list.append(idx)\n",
    "    for idx in remove_idx_list:\n",
    "        match_idx_list.remove(idx)\n",
    "    # store matched words\n",
    "    match_word_list.append(list())\n",
    "    for idx in match_idx_list:\n",
    "        match_word = word_df.loc[idx, 'word']\n",
    "        match_word_list[i].append(match_word)\n",
    "    # calculate mean and std of word ranking from located indices\n",
    "    mu = np.array(match_idx_list).mean().round()\n",
    "    mean_idx_list.append(mu)\n",
    "    sigma = np.array(match_idx_list).std().round()\n",
    "    sigma_idx_list.append(sigma)\n",
    "\n",
    "# show example of results\n",
    "idx = 0\n",
    "print(word_list[idx])\n",
    "print(match_word_list[idx])\n",
    "print(mean_idx_list[idx])\n",
    "print(sigma_idx_list[idx])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f825653d-6c43-46bc-bc11-f9b8f4de5414",
   "metadata": {
    "tags": []
   },
   "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>root</th>\n",
       "      <th>mean_ranking</th>\n",
       "      <th>std_ranking</th>\n",
       "      <th>word_matches</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CO2</td>\n",
       "      <td>3390.0</td>\n",
       "      <td>2275.0</td>\n",
       "      <td>[co2, co2neutral, co2emission]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CSR</td>\n",
       "      <td>1371.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[csr]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ESG</td>\n",
       "      <td>636.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[esg]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SDG</td>\n",
       "      <td>423.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[sdgs]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>bio</td>\n",
       "      <td>3687.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>[biofuel, biofuels, biohuts, biodiversity]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>carb</td>\n",
       "      <td>1952.0</td>\n",
       "      <td>1526.0</td>\n",
       "      <td>[decarbonisation, carbon, decarbonization, car...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>challeng</td>\n",
       "      <td>420.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>[challenges, challenge, challenging]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chang</td>\n",
       "      <td>2148.0</td>\n",
       "      <td>1667.0</td>\n",
       "      <td>[change, changing, climatechange, changes, exc...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>clean</td>\n",
       "      <td>1695.0</td>\n",
       "      <td>837.0</td>\n",
       "      <td>[theoceancleanup, cleanup, clean, cleanseas, o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>climate</td>\n",
       "      <td>3046.0</td>\n",
       "      <td>2095.0</td>\n",
       "      <td>[climateaction, climate, climatechange, climat...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>eco</td>\n",
       "      <td>3074.0</td>\n",
       "      <td>1269.0</td>\n",
       "      <td>[ecosystem, eco, maerskecodelivery, ecofriendl...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>emissions</td>\n",
       "      <td>2925.0</td>\n",
       "      <td>2046.0</td>\n",
       "      <td>[emissions, carbonemissions, zeroemissions]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>environment</td>\n",
       "      <td>2391.0</td>\n",
       "      <td>1574.0</td>\n",
       "      <td>[environment, environmental, unenvironment, en...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>future</td>\n",
       "      <td>1770.0</td>\n",
       "      <td>1684.0</td>\n",
       "      <td>[future, futureproofing]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>garbage</td>\n",
       "      <td>1808.0</td>\n",
       "      <td>612.0</td>\n",
       "      <td>[garbage, greatpacificgarbagepatch]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>green</td>\n",
       "      <td>2393.0</td>\n",
       "      <td>1158.0</td>\n",
       "      <td>[green, greenfuels, greener, greenfuel, greent...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>methanol</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>1044.0</td>\n",
       "      <td>[methanol, emethanol]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>mission</td>\n",
       "      <td>3247.0</td>\n",
       "      <td>1950.0</td>\n",
       "      <td>[emissions, mission, eucommission, carbonemiss...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>neutral</td>\n",
       "      <td>2382.0</td>\n",
       "      <td>1798.0</td>\n",
       "      <td>[neutral, carbonneutral, neutrality, co2neutral]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ocean</td>\n",
       "      <td>2169.0</td>\n",
       "      <td>1629.0</td>\n",
       "      <td>[ocean, theoceancleanup, oceans, oceanplastic,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>planet</td>\n",
       "      <td>1295.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[planet]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>plastic</td>\n",
       "      <td>2320.0</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>[plastic, oceanplastic, plasticwaste, plasticp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>recycling</td>\n",
       "      <td>860.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>[recycling, shiprecycling]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>reduc</td>\n",
       "      <td>1242.0</td>\n",
       "      <td>965.0</td>\n",
       "      <td>[reduce, reducing, reduced, reduction, reducti...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>responsib</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>1135.0</td>\n",
       "      <td>[responsible, responsibility, responsibly, res...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>sulphur</td>\n",
       "      <td>2828.0</td>\n",
       "      <td>1772.0</td>\n",
       "      <td>[sulphur, lowsulphur]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>sustainab</td>\n",
       "      <td>1527.0</td>\n",
       "      <td>1873.0</td>\n",
       "      <td>[sustainability, sustainable, sustainableshipp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>zero</td>\n",
       "      <td>2977.0</td>\n",
       "      <td>1646.0</td>\n",
       "      <td>[zero, netzero, zerocarbon, zerocarbonship, ze...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           root  mean_ranking  std_ranking   \n",
       "0           CO2        3390.0       2275.0  \\\n",
       "1           CSR        1371.0          0.0   \n",
       "2           ESG         636.0          0.0   \n",
       "3           SDG         423.0          0.0   \n",
       "4           bio        3687.0       1274.0   \n",
       "5          carb        1952.0       1526.0   \n",
       "6      challeng         420.0        264.0   \n",
       "7         chang        2148.0       1667.0   \n",
       "8         clean        1695.0        837.0   \n",
       "9       climate        3046.0       2095.0   \n",
       "10          eco        3074.0       1269.0   \n",
       "11    emissions        2925.0       2046.0   \n",
       "12  environment        2391.0       1574.0   \n",
       "13       future        1770.0       1684.0   \n",
       "14      garbage        1808.0        612.0   \n",
       "15        green        2393.0       1158.0   \n",
       "16     methanol        1700.0       1044.0   \n",
       "17      mission        3247.0       1950.0   \n",
       "18      neutral        2382.0       1798.0   \n",
       "19        ocean        2169.0       1629.0   \n",
       "20       planet        1295.0          0.0   \n",
       "21      plastic        2320.0       1490.0   \n",
       "22    recycling         860.0        154.0   \n",
       "23        reduc        1242.0        965.0   \n",
       "24    responsib        1889.0       1135.0   \n",
       "25      sulphur        2828.0       1772.0   \n",
       "26    sustainab        1527.0       1873.0   \n",
       "27         zero        2977.0       1646.0   \n",
       "\n",
       "                                         word_matches  \n",
       "0                      [co2, co2neutral, co2emission]  \n",
       "1                                               [csr]  \n",
       "2                                               [esg]  \n",
       "3                                              [sdgs]  \n",
       "4          [biofuel, biofuels, biohuts, biodiversity]  \n",
       "5   [decarbonisation, carbon, decarbonization, car...  \n",
       "6                [challenges, challenge, challenging]  \n",
       "7   [change, changing, climatechange, changes, exc...  \n",
       "8   [theoceancleanup, cleanup, clean, cleanseas, o...  \n",
       "9   [climateaction, climate, climatechange, climat...  \n",
       "10  [ecosystem, eco, maerskecodelivery, ecofriendl...  \n",
       "11        [emissions, carbonemissions, zeroemissions]  \n",
       "12  [environment, environmental, unenvironment, en...  \n",
       "13                           [future, futureproofing]  \n",
       "14                [garbage, greatpacificgarbagepatch]  \n",
       "15  [green, greenfuels, greener, greenfuel, greent...  \n",
       "16                              [methanol, emethanol]  \n",
       "17  [emissions, mission, eucommission, carbonemiss...  \n",
       "18   [neutral, carbonneutral, neutrality, co2neutral]  \n",
       "19  [ocean, theoceancleanup, oceans, oceanplastic,...  \n",
       "20                                           [planet]  \n",
       "21  [plastic, oceanplastic, plasticwaste, plasticp...  \n",
       "22                         [recycling, shiprecycling]  \n",
       "23  [reduce, reducing, reduced, reduction, reducti...  \n",
       "24  [responsible, responsibility, responsibly, res...  \n",
       "25                              [sulphur, lowsulphur]  \n",
       "26  [sustainability, sustainable, sustainableshipp...  \n",
       "27  [zero, netzero, zerocarbon, zerocarbonship, ze...  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame({\n",
    "    'root': word_list,\n",
    "    'mean_ranking': mean_idx_list,\n",
    "    'std_ranking': sigma_idx_list,\n",
    "    'word_matches': match_word_list\n",
    "})\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c4ea948f-66f6-405d-8b35-b390b1b3e4a7",
   "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>root</th>\n",
       "      <th>mean_ranking</th>\n",
       "      <th>std_ranking</th>\n",
       "      <th>word_matches</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>challeng</td>\n",
       "      <td>420.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>[challenges, challenge, challenging]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SDG</td>\n",
       "      <td>423.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[sdgs]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ESG</td>\n",
       "      <td>636.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[esg]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>recycling</td>\n",
       "      <td>860.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>[recycling, shiprecycling]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>reduc</td>\n",
       "      <td>1242.0</td>\n",
       "      <td>965.0</td>\n",
       "      <td>[reduce, reducing, reduced, reduction, reducti...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>planet</td>\n",
       "      <td>1295.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[planet]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CSR</td>\n",
       "      <td>1371.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[csr]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>sustainab</td>\n",
       "      <td>1527.0</td>\n",
       "      <td>1873.0</td>\n",
       "      <td>[sustainability, sustainable, sustainableshipp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>clean</td>\n",
       "      <td>1695.0</td>\n",
       "      <td>837.0</td>\n",
       "      <td>[theoceancleanup, cleanup, clean, cleanseas, o...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>methanol</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>1044.0</td>\n",
       "      <td>[methanol, emethanol]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>future</td>\n",
       "      <td>1770.0</td>\n",
       "      <td>1684.0</td>\n",
       "      <td>[future, futureproofing]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>garbage</td>\n",
       "      <td>1808.0</td>\n",
       "      <td>612.0</td>\n",
       "      <td>[garbage, greatpacificgarbagepatch]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>responsib</td>\n",
       "      <td>1889.0</td>\n",
       "      <td>1135.0</td>\n",
       "      <td>[responsible, responsibility, responsibly, res...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>carb</td>\n",
       "      <td>1952.0</td>\n",
       "      <td>1526.0</td>\n",
       "      <td>[decarbonisation, carbon, decarbonization, car...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>chang</td>\n",
       "      <td>2148.0</td>\n",
       "      <td>1667.0</td>\n",
       "      <td>[change, changing, climatechange, changes, exc...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ocean</td>\n",
       "      <td>2169.0</td>\n",
       "      <td>1629.0</td>\n",
       "      <td>[ocean, theoceancleanup, oceans, oceanplastic,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>plastic</td>\n",
       "      <td>2320.0</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>[plastic, oceanplastic, plasticwaste, plasticp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>neutral</td>\n",
       "      <td>2382.0</td>\n",
       "      <td>1798.0</td>\n",
       "      <td>[neutral, carbonneutral, neutrality, co2neutral]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>environment</td>\n",
       "      <td>2391.0</td>\n",
       "      <td>1574.0</td>\n",
       "      <td>[environment, environmental, unenvironment, en...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>green</td>\n",
       "      <td>2393.0</td>\n",
       "      <td>1158.0</td>\n",
       "      <td>[green, greenfuels, greener, greenfuel, greent...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>sulphur</td>\n",
       "      <td>2828.0</td>\n",
       "      <td>1772.0</td>\n",
       "      <td>[sulphur, lowsulphur]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>emissions</td>\n",
       "      <td>2925.0</td>\n",
       "      <td>2046.0</td>\n",
       "      <td>[emissions, carbonemissions, zeroemissions]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>zero</td>\n",
       "      <td>2977.0</td>\n",
       "      <td>1646.0</td>\n",
       "      <td>[zero, netzero, zerocarbon, zerocarbonship, ze...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>climate</td>\n",
       "      <td>3046.0</td>\n",
       "      <td>2095.0</td>\n",
       "      <td>[climateaction, climate, climatechange, climat...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>eco</td>\n",
       "      <td>3074.0</td>\n",
       "      <td>1269.0</td>\n",
       "      <td>[ecosystem, eco, maerskecodelivery, ecofriendl...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>mission</td>\n",
       "      <td>3247.0</td>\n",
       "      <td>1950.0</td>\n",
       "      <td>[emissions, mission, eucommission, carbonemiss...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>CO2</td>\n",
       "      <td>3390.0</td>\n",
       "      <td>2275.0</td>\n",
       "      <td>[co2, co2neutral, co2emission]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>bio</td>\n",
       "      <td>3687.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>[biofuel, biofuels, biohuts, biodiversity]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           root  mean_ranking  std_ranking   \n",
       "0      challeng         420.0        264.0  \\\n",
       "1           SDG         423.0          0.0   \n",
       "2           ESG         636.0          0.0   \n",
       "3     recycling         860.0        154.0   \n",
       "4         reduc        1242.0        965.0   \n",
       "5        planet        1295.0          0.0   \n",
       "6           CSR        1371.0          0.0   \n",
       "7     sustainab        1527.0       1873.0   \n",
       "8         clean        1695.0        837.0   \n",
       "9      methanol        1700.0       1044.0   \n",
       "10       future        1770.0       1684.0   \n",
       "11      garbage        1808.0        612.0   \n",
       "12    responsib        1889.0       1135.0   \n",
       "13         carb        1952.0       1526.0   \n",
       "14        chang        2148.0       1667.0   \n",
       "15        ocean        2169.0       1629.0   \n",
       "16      plastic        2320.0       1490.0   \n",
       "17      neutral        2382.0       1798.0   \n",
       "18  environment        2391.0       1574.0   \n",
       "19        green        2393.0       1158.0   \n",
       "20      sulphur        2828.0       1772.0   \n",
       "21    emissions        2925.0       2046.0   \n",
       "22         zero        2977.0       1646.0   \n",
       "23      climate        3046.0       2095.0   \n",
       "24          eco        3074.0       1269.0   \n",
       "25      mission        3247.0       1950.0   \n",
       "26          CO2        3390.0       2275.0   \n",
       "27          bio        3687.0       1274.0   \n",
       "\n",
       "                                         word_matches  \n",
       "0                [challenges, challenge, challenging]  \n",
       "1                                              [sdgs]  \n",
       "2                                               [esg]  \n",
       "3                          [recycling, shiprecycling]  \n",
       "4   [reduce, reducing, reduced, reduction, reducti...  \n",
       "5                                            [planet]  \n",
       "6                                               [csr]  \n",
       "7   [sustainability, sustainable, sustainableshipp...  \n",
       "8   [theoceancleanup, cleanup, clean, cleanseas, o...  \n",
       "9                               [methanol, emethanol]  \n",
       "10                           [future, futureproofing]  \n",
       "11                [garbage, greatpacificgarbagepatch]  \n",
       "12  [responsible, responsibility, responsibly, res...  \n",
       "13  [decarbonisation, carbon, decarbonization, car...  \n",
       "14  [change, changing, climatechange, changes, exc...  \n",
       "15  [ocean, theoceancleanup, oceans, oceanplastic,...  \n",
       "16  [plastic, oceanplastic, plasticwaste, plasticp...  \n",
       "17   [neutral, carbonneutral, neutrality, co2neutral]  \n",
       "18  [environment, environmental, unenvironment, en...  \n",
       "19  [green, greenfuels, greener, greenfuel, greent...  \n",
       "20                              [sulphur, lowsulphur]  \n",
       "21        [emissions, carbonemissions, zeroemissions]  \n",
       "22  [zero, netzero, zerocarbon, zerocarbonship, ze...  \n",
       "23  [climateaction, climate, climatechange, climat...  \n",
       "24  [ecosystem, eco, maerskecodelivery, ecofriendl...  \n",
       "25  [emissions, mission, eucommission, carbonemiss...  \n",
       "26                     [co2, co2neutral, co2emission]  \n",
       "27         [biofuel, biofuels, biohuts, biodiversity]  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort values by ranking\n",
    "df = df.sort_values(by='mean_ranking').reset_index(drop=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7b3dbcf3-2d95-4a5e-b795-cea63da2a34a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# save results\n",
    "df['mean_ranking'] = df['mean_ranking'].astype(int)\n",
    "df['std_ranking'] = df['std_ranking'].astype(int)\n",
    "df.to_csv('word_root_ranking.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef515886-a918-49a0-b9df-7f20bfe4cea4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}