diff --git a/sustainability_word_list.ipynb b/sustainability_word_list.ipynb
new file mode 100644
index 0000000..11859e3
--- /dev/null
+++ b/sustainability_word_list.ipynb
@@ -0,0 +1,918 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "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": 73,
+   "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>phase</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.00001</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10921</th>\n",
+       "      <td>agrichemicals</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.00001</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10922</th>\n",
+       "      <td>polluting</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.00001</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10923</th>\n",
+       "      <td>adams</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.00001</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10924</th>\n",
+       "      <td>maerskcapitalmarketsday</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                    phase       1  0.00001\n",
+       "10921            agrichemicals       1  0.00001\n",
+       "10922                polluting       1  0.00001\n",
+       "10923                    adams       1  0.00001\n",
+       "10924  maerskcapitalmarketsday       1  0.00001\n",
+       "\n",
+       "[10925 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 73,
+     "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": 74,
+   "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": 76,
+   "id": "f2f37c6b-cb1f-4c71-aa24-9601d5bfe7b8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CO2\n",
+      "['co2', 'co2emission', 'co2neutral']\n",
+      "3279.0\n",
+      "2165.0\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": 77,
+   "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>3279.0</td>\n",
+       "      <td>2165.0</td>\n",
+       "      <td>[co2, co2emission, co2neutral]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>CSR</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[csr]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ESG</td>\n",
+       "      <td>635.0</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>3579.0</td>\n",
+       "      <td>1252.0</td>\n",
+       "      <td>[biofuel, biofuels, biodiversity, biohuts]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>carb</td>\n",
+       "      <td>1848.0</td>\n",
+       "      <td>1396.0</td>\n",
+       "      <td>[decarbonisation, carbon, decarbonization, car...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>challeng</td>\n",
+       "      <td>406.0</td>\n",
+       "      <td>248.0</td>\n",
+       "      <td>[challenges, challenge, challenging]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>chang</td>\n",
+       "      <td>2054.0</td>\n",
+       "      <td>1563.0</td>\n",
+       "      <td>[change, changing, climatechange, changes, exc...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>clean</td>\n",
+       "      <td>1709.0</td>\n",
+       "      <td>859.0</td>\n",
+       "      <td>[theoceancleanup, cleanup, clean, cleanseas, o...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>climate</td>\n",
+       "      <td>2943.0</td>\n",
+       "      <td>1978.0</td>\n",
+       "      <td>[climateaction, climate, climatechange, climat...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>eco</td>\n",
+       "      <td>3128.0</td>\n",
+       "      <td>1228.0</td>\n",
+       "      <td>[ecosystem, eco, maerskecodelivery, ecofriendl...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>emissions</td>\n",
+       "      <td>2912.0</td>\n",
+       "      <td>2065.0</td>\n",
+       "      <td>[emissions, carbonemissions, zeroemissions]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>environment</td>\n",
+       "      <td>2537.0</td>\n",
+       "      <td>1736.0</td>\n",
+       "      <td>[environment, environmental, unenvironment, en...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>future</td>\n",
+       "      <td>1626.0</td>\n",
+       "      <td>1540.0</td>\n",
+       "      <td>[future, futureproofing]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>garbage</td>\n",
+       "      <td>1772.0</td>\n",
+       "      <td>511.0</td>\n",
+       "      <td>[garbage, greatpacificgarbagepatch]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>green</td>\n",
+       "      <td>2580.0</td>\n",
+       "      <td>1376.0</td>\n",
+       "      <td>[green, greenfuels, greener, greenfuel, greenl...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>methanol</td>\n",
+       "      <td>1755.0</td>\n",
+       "      <td>1110.0</td>\n",
+       "      <td>[methanol, emethanol]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>mission</td>\n",
+       "      <td>3245.0</td>\n",
+       "      <td>1937.0</td>\n",
+       "      <td>[emissions, mission, carbonemissions, eucommis...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>neutral</td>\n",
+       "      <td>2384.0</td>\n",
+       "      <td>1886.0</td>\n",
+       "      <td>[neutral, carbonneutral, neutrality, co2neutral]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>ocean</td>\n",
+       "      <td>2217.0</td>\n",
+       "      <td>1657.0</td>\n",
+       "      <td>[ocean, theoceancleanup, oceans, oceanplastic,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>planet</td>\n",
+       "      <td>1390.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[planet]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>plastic</td>\n",
+       "      <td>2354.0</td>\n",
+       "      <td>1587.0</td>\n",
+       "      <td>[plastic, oceanplastic, plasticwaste, plasticp...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>recycling</td>\n",
+       "      <td>848.0</td>\n",
+       "      <td>171.0</td>\n",
+       "      <td>[recycling, shiprecycling]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>reduc</td>\n",
+       "      <td>1359.0</td>\n",
+       "      <td>1199.0</td>\n",
+       "      <td>[reduce, reducing, reduced, reduction, reducti...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>responsib</td>\n",
+       "      <td>1840.0</td>\n",
+       "      <td>1093.0</td>\n",
+       "      <td>[responsible, responsibility, responsibly, res...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>sulphur</td>\n",
+       "      <td>2572.0</td>\n",
+       "      <td>1524.0</td>\n",
+       "      <td>[sulphur, lowsulphur]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>sustainab</td>\n",
+       "      <td>1516.0</td>\n",
+       "      <td>1825.0</td>\n",
+       "      <td>[sustainability, sustainable, sustainableshipp...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>zero</td>\n",
+       "      <td>2972.0</td>\n",
+       "      <td>1670.0</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        3279.0       2165.0   \n",
+       "1           CSR        1345.0          0.0   \n",
+       "2           ESG         635.0          0.0   \n",
+       "3           SDG         423.0          0.0   \n",
+       "4           bio        3579.0       1252.0   \n",
+       "5          carb        1848.0       1396.0   \n",
+       "6      challeng         406.0        248.0   \n",
+       "7         chang        2054.0       1563.0   \n",
+       "8         clean        1709.0        859.0   \n",
+       "9       climate        2943.0       1978.0   \n",
+       "10          eco        3128.0       1228.0   \n",
+       "11    emissions        2912.0       2065.0   \n",
+       "12  environment        2537.0       1736.0   \n",
+       "13       future        1626.0       1540.0   \n",
+       "14      garbage        1772.0        511.0   \n",
+       "15        green        2580.0       1376.0   \n",
+       "16     methanol        1755.0       1110.0   \n",
+       "17      mission        3245.0       1937.0   \n",
+       "18      neutral        2384.0       1886.0   \n",
+       "19        ocean        2217.0       1657.0   \n",
+       "20       planet        1390.0          0.0   \n",
+       "21      plastic        2354.0       1587.0   \n",
+       "22    recycling         848.0        171.0   \n",
+       "23        reduc        1359.0       1199.0   \n",
+       "24    responsib        1840.0       1093.0   \n",
+       "25      sulphur        2572.0       1524.0   \n",
+       "26    sustainab        1516.0       1825.0   \n",
+       "27         zero        2972.0       1670.0   \n",
+       "\n",
+       "                                         word_matches  \n",
+       "0                      [co2, co2emission, co2neutral]  \n",
+       "1                                               [csr]  \n",
+       "2                                               [esg]  \n",
+       "3                                              [sdgs]  \n",
+       "4          [biofuel, biofuels, biodiversity, biohuts]  \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, greenl...  \n",
+       "16                              [methanol, emethanol]  \n",
+       "17  [emissions, mission, carbonemissions, eucommis...  \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": 77,
+     "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": 78,
+   "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>406.0</td>\n",
+       "      <td>248.0</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>635.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[esg]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>recycling</td>\n",
+       "      <td>848.0</td>\n",
+       "      <td>171.0</td>\n",
+       "      <td>[recycling, shiprecycling]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>CSR</td>\n",
+       "      <td>1345.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[csr]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>reduc</td>\n",
+       "      <td>1359.0</td>\n",
+       "      <td>1199.0</td>\n",
+       "      <td>[reduce, reducing, reduced, reduction, reducti...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>planet</td>\n",
+       "      <td>1390.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>[planet]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>sustainab</td>\n",
+       "      <td>1516.0</td>\n",
+       "      <td>1825.0</td>\n",
+       "      <td>[sustainability, sustainable, sustainableshipp...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>future</td>\n",
+       "      <td>1626.0</td>\n",
+       "      <td>1540.0</td>\n",
+       "      <td>[future, futureproofing]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>clean</td>\n",
+       "      <td>1709.0</td>\n",
+       "      <td>859.0</td>\n",
+       "      <td>[theoceancleanup, cleanup, clean, cleanseas, o...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>methanol</td>\n",
+       "      <td>1755.0</td>\n",
+       "      <td>1110.0</td>\n",
+       "      <td>[methanol, emethanol]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>garbage</td>\n",
+       "      <td>1772.0</td>\n",
+       "      <td>511.0</td>\n",
+       "      <td>[garbage, greatpacificgarbagepatch]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>responsib</td>\n",
+       "      <td>1840.0</td>\n",
+       "      <td>1093.0</td>\n",
+       "      <td>[responsible, responsibility, responsibly, res...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>carb</td>\n",
+       "      <td>1848.0</td>\n",
+       "      <td>1396.0</td>\n",
+       "      <td>[decarbonisation, carbon, decarbonization, car...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>chang</td>\n",
+       "      <td>2054.0</td>\n",
+       "      <td>1563.0</td>\n",
+       "      <td>[change, changing, climatechange, changes, exc...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>ocean</td>\n",
+       "      <td>2217.0</td>\n",
+       "      <td>1657.0</td>\n",
+       "      <td>[ocean, theoceancleanup, oceans, oceanplastic,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>plastic</td>\n",
+       "      <td>2354.0</td>\n",
+       "      <td>1587.0</td>\n",
+       "      <td>[plastic, oceanplastic, plasticwaste, plasticp...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>neutral</td>\n",
+       "      <td>2384.0</td>\n",
+       "      <td>1886.0</td>\n",
+       "      <td>[neutral, carbonneutral, neutrality, co2neutral]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>environment</td>\n",
+       "      <td>2537.0</td>\n",
+       "      <td>1736.0</td>\n",
+       "      <td>[environment, environmental, unenvironment, en...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>sulphur</td>\n",
+       "      <td>2572.0</td>\n",
+       "      <td>1524.0</td>\n",
+       "      <td>[sulphur, lowsulphur]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>green</td>\n",
+       "      <td>2580.0</td>\n",
+       "      <td>1376.0</td>\n",
+       "      <td>[green, greenfuels, greener, greenfuel, greenl...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>emissions</td>\n",
+       "      <td>2912.0</td>\n",
+       "      <td>2065.0</td>\n",
+       "      <td>[emissions, carbonemissions, zeroemissions]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>climate</td>\n",
+       "      <td>2943.0</td>\n",
+       "      <td>1978.0</td>\n",
+       "      <td>[climateaction, climate, climatechange, climat...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>zero</td>\n",
+       "      <td>2972.0</td>\n",
+       "      <td>1670.0</td>\n",
+       "      <td>[zero, netzero, zerocarbon, zerocarbonship, ze...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>eco</td>\n",
+       "      <td>3128.0</td>\n",
+       "      <td>1228.0</td>\n",
+       "      <td>[ecosystem, eco, maerskecodelivery, ecofriendl...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>mission</td>\n",
+       "      <td>3245.0</td>\n",
+       "      <td>1937.0</td>\n",
+       "      <td>[emissions, mission, carbonemissions, eucommis...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>CO2</td>\n",
+       "      <td>3279.0</td>\n",
+       "      <td>2165.0</td>\n",
+       "      <td>[co2, co2emission, co2neutral]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>bio</td>\n",
+       "      <td>3579.0</td>\n",
+       "      <td>1252.0</td>\n",
+       "      <td>[biofuel, biofuels, biodiversity, biohuts]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           root  mean_ranking  std_ranking  \\\n",
+       "0      challeng         406.0        248.0   \n",
+       "1           SDG         423.0          0.0   \n",
+       "2           ESG         635.0          0.0   \n",
+       "3     recycling         848.0        171.0   \n",
+       "4           CSR        1345.0          0.0   \n",
+       "5         reduc        1359.0       1199.0   \n",
+       "6        planet        1390.0          0.0   \n",
+       "7     sustainab        1516.0       1825.0   \n",
+       "8        future        1626.0       1540.0   \n",
+       "9         clean        1709.0        859.0   \n",
+       "10     methanol        1755.0       1110.0   \n",
+       "11      garbage        1772.0        511.0   \n",
+       "12    responsib        1840.0       1093.0   \n",
+       "13         carb        1848.0       1396.0   \n",
+       "14        chang        2054.0       1563.0   \n",
+       "15        ocean        2217.0       1657.0   \n",
+       "16      plastic        2354.0       1587.0   \n",
+       "17      neutral        2384.0       1886.0   \n",
+       "18  environment        2537.0       1736.0   \n",
+       "19      sulphur        2572.0       1524.0   \n",
+       "20        green        2580.0       1376.0   \n",
+       "21    emissions        2912.0       2065.0   \n",
+       "22      climate        2943.0       1978.0   \n",
+       "23         zero        2972.0       1670.0   \n",
+       "24          eco        3128.0       1228.0   \n",
+       "25      mission        3245.0       1937.0   \n",
+       "26          CO2        3279.0       2165.0   \n",
+       "27          bio        3579.0       1252.0   \n",
+       "\n",
+       "                                         word_matches  \n",
+       "0                [challenges, challenge, challenging]  \n",
+       "1                                              [sdgs]  \n",
+       "2                                               [esg]  \n",
+       "3                          [recycling, shiprecycling]  \n",
+       "4                                               [csr]  \n",
+       "5   [reduce, reducing, reduced, reduction, reducti...  \n",
+       "6                                            [planet]  \n",
+       "7   [sustainability, sustainable, sustainableshipp...  \n",
+       "8                            [future, futureproofing]  \n",
+       "9   [theoceancleanup, cleanup, clean, cleanseas, o...  \n",
+       "10                              [methanol, emethanol]  \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                              [sulphur, lowsulphur]  \n",
+       "20  [green, greenfuels, greener, greenfuel, greenl...  \n",
+       "21        [emissions, carbonemissions, zeroemissions]  \n",
+       "22  [climateaction, climate, climatechange, climat...  \n",
+       "23  [zero, netzero, zerocarbon, zerocarbonship, ze...  \n",
+       "24  [ecosystem, eco, maerskecodelivery, ecofriendl...  \n",
+       "25  [emissions, mission, carbonemissions, eucommis...  \n",
+       "26                     [co2, co2emission, co2neutral]  \n",
+       "27         [biofuel, biofuels, biodiversity, biohuts]  "
+      ]
+     },
+     "execution_count": 78,
+     "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": 79,
+   "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": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}