Topic_Modeling.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyPPIptVaHWVaVYAiLYRswHU"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2CIST4pdVNKG","executionInfo":{"status":"ok","timestamp":1669740764223,"user_tz":480,"elapsed":86293,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"4c7898c9-2ede-4138-ddf9-7a19bff381f2"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting bertopic\n","  Downloading bertopic-0.12.0-py2.py3-none-any.whl (90 kB)\n","\u001b[K     |████████████████████████████████| 90 kB 3.8 MB/s \n","\u001b[?25hCollecting umap-learn>=0.5.0\n","  Downloading umap-learn-0.5.3.tar.gz (88 kB)\n","\u001b[K     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sentencepiece-0.1.97 tokenizers-0.13.2 transformers-4.24.0 umap-learn-0.5.3\n","Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting algoliasearch\n","  Downloading algoliasearch-2.6.2-py2.py3-none-any.whl (35 kB)\n","Requirement already satisfied: requests<3.0,>=2.21 in /usr/local/lib/python3.7/dist-packages (from algoliasearch) (2.23.0)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests<3.0,>=2.21->algoliasearch) (3.0.4)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests<3.0,>=2.21->algoliasearch) (2.10)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests<3.0,>=2.21->algoliasearch) (1.24.3)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests<3.0,>=2.21->algoliasearch) (2022.9.24)\n","Installing collected packages: algoliasearch\n","Successfully installed algoliasearch-2.6.2\n"]}],"source":["!pip3 install bertopic\n","!pip3 install algoliasearch"]},{"cell_type":"markdown","source":["# Topic Modeling --> extract topics from docs, grousp them into topics and shows the main keywords in each topic\n","\n","![Screen Shot 2022-11-22 at 8.20.48 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)\n","\n","# BERTopic Pipeline \n","1. SBERT for embeddings \n","2. dimensionality reduction of embeddings with umap\n","3. HDBSCAN clustering, b/c it provides outliers\n","4. BOW extraction (topic extraction) \n","5. Topic represenation with cTF-IDF and MMR methods\n","\n","![Screen Shot 2022-11-22 at 8.23.29 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)\n","\n","# Algorithms \n","- BERTopic\n","- Top2Vec\n","- Latent Dirichlet Allocation (LDA)\n","- Non Negative Matrix Factorization (NMF)\n","- Latent Semantic Analysis (LSA)\n","- Parallel Latent Dirichlet Allocation (PLDA)\n","- Pachinko Allocation Model (PAM)"],"metadata":{"id":"PH-ke5RTf5Kp"}},{"cell_type":"code","source":["from bertopic import BERTopic\n","import algoliasearch.search_client\n","from getpass import getpass"],"metadata":{"id":"Y6kRJEm3diBy","executionInfo":{"status":"ok","timestamp":1669740795551,"user_tz":480,"elapsed":31364,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["app_id = getpass('Enter the app_id value: ')\n","api_key = getpass('Enter the api_key value: ')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"C89WvNNxd67h","executionInfo":{"status":"ok","timestamp":1669740906145,"user_tz":480,"elapsed":13161,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"9c496805-c55d-46b3-b2f9-1c2bc9c4d59d"},"execution_count":3,"outputs":[{"name":"stdout","output_type":"stream","text":["Enter the app_id value: ··········\n","Enter the api_key value: ··········\n"]}]},{"cell_type":"code","source":["# Initialize Algolia search client\n","client = algoliasearch.search_client.SearchClient.create(\n","        app_id, api_key)\n","index = client.init_index(\"asknature_searchable_posts\")"],"metadata":{"id":"YMqe0xntd7vP","executionInfo":{"status":"ok","timestamp":1669740911045,"user_tz":480,"elapsed":783,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":4,"outputs":[]},{"cell_type":"code","source":["res = index.browse_objects({'query': \"\", 'attributesToRetrieve': ['summary']})"],"metadata":{"id":"K4D3V-8gd9xi","executionInfo":{"status":"ok","timestamp":1669740919303,"user_tz":480,"elapsed":203,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":5,"outputs":[]},{"cell_type":"code","source":["summaries = []\n","summaries_dict = {}\n","ids = []\n","x = 0\n","for i in res:\n","  i[\"objectID\"]\n","  x += 1\n","  summ = i[\"summary\"]\n","  # print(i)\n","  if summ not in summaries:\n","    ids.append(i[\"objectID\"])\n","    summaries.append(summ)\n","print(x)\n","print(len(summaries))\n","\n","raw_summaries = summaries[1:]\n","summaries = summaries[1:]\n","print(summaries[0])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"BTUFKzuMeBpg","executionInfo":{"status":"ok","timestamp":1669740929636,"user_tz":480,"elapsed":1819,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"3d967fb6-da55-4590-9a44-ec40d3d5950c"},"execution_count":6,"outputs":[{"output_type":"stream","name":"stdout","text":["2242\n","2099\n","Wind turbines from Paris-Sorbonne University are flexible to reduce drag and create a more powerful stroke.\n","\n"]}]},{"cell_type":"code","source":["import nltk\n","nltk.download('punkt')\n","# nltk.download('averaged_perceptron_tagger')\n","from nltk.tokenize import word_tokenize\n","from nltk.tokenize import RegexpTokenizer"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"MhYDlUBzeEqd","executionInfo":{"status":"ok","timestamp":1669740937322,"user_tz":480,"elapsed":325,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"b94e5348-92a3-458f-977a-8fc6d2be8eb7"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stderr","text":["[nltk_data] Downloading package punkt to /root/nltk_data...\n","[nltk_data]   Unzipping tokenizers/punkt.zip.\n"]}]},{"cell_type":"code","source":["# tokenizer that picks out sequences of alphanumeric characters as tokens and drops everything else\n","# Then lowercase everything \n","\n","# Don't remove stop words or lemmatize yet!\n","# Don't remove digits yet!\n","\n","tokenizer = RegexpTokenizer(r'\\w+')\n","for i in range(len(summaries)):\n","  summaries[i] = tokenizer.tokenize(str(summaries[i]))\n","  summaries[i]  =  \" \".join([word.lower() for word in summaries[i]])\n","\n","'''summaries = summaries[1:]\n","nltk.pos_tag(summaries[1])'''\n","print(summaries[-1])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"g-iJu6HqeHVh","executionInfo":{"status":"ok","timestamp":1669740943167,"user_tz":480,"elapsed":338,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"b111b961-9c5b-447a-aeb6-394e9e7c1dff"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["halobacteria produce chemical energy by capturing light energy with rhodopsin pigments and using it to pump protons out of the cell setting up a proton gradient used to generate atp\n"]}]},{"cell_type":"code","source":["# https://stackoverflow.com/questions/71320201/how-to-fix-random-seed-for-bertopic\n","from umap import UMAP\n","# umap_model = UMAP(random_state=42)"],"metadata":{"id":"pvcy3Xw9VtoV","executionInfo":{"status":"ok","timestamp":1669741762913,"user_tz":480,"elapsed":293,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":19,"outputs":[]},{"cell_type":"code","source":["# topic_model = BERTopic(umap_model=umap_model)\n","topic_model = BERTopic()\n","\n","# Training procedure\n","topics, probs = topic_model.fit_transform(summaries)"],"metadata":{"id":"LDURNkFGdo-C","executionInfo":{"status":"ok","timestamp":1669741803442,"user_tz":480,"elapsed":39646,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":20,"outputs":[]},{"cell_type":"code","source":["topic_df = topic_model.get_topic_info()\n","topic_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"mpisOyFCeevG","executionInfo":{"status":"ok","timestamp":1669741803451,"user_tz":480,"elapsed":40,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"a7253ce4-3b68-42ab-d58b-a192d87ba3f4"},"execution_count":21,"outputs":[{"output_type":"execute_result","data":{"text/plain":["    Topic  Count                                         Name\n","0      -1    697                            -1_of_the_to_from\n","1       0    140                          0_fish_the_water_of\n","2       1    123                    1_light_eyes_color_vision\n","3       2     92            2_this_biomimicry_students_nature\n","4       3     76                       3_sponges_shell_of_the\n","5       4     70             4_heat_blood_cooling_temperature\n","6       5     49                    5_wings_flight_lift_birds\n","7       6     48  6_diversity_ecosystems_species_disturbances\n","8       7     46                 7_bees_nests_wasps_honeybees\n","9       8     44                     8_bats_sound_ear_vampire\n","10      9     43      9_bacteria_membranes_bacterial_flagella\n","11     10     43                   10_ants_ant_colonies_nests\n","12     11     39                 11_water_leaves_roots_desert\n","13     12     35         12_beetle_whirligig_legs_exoskeleton\n","14     13     35               13_protect_leaves_eating_toxic\n","15     14     33              14_larvae_predators_silk_liquid\n","16     15     32                15_robot_university_from_soft\n","17     16     30    16_pollen_flowers_pollinators_pollination\n","18     17     30                     17_frogs_skin_venom_eggs\n","19     18     28           18_bacteria_metabolism_enzymes_oil\n","20     19     28                   19_silk_spiders_spider_orb\n","21     20     27      20_light_photosynthesis_plants_maximize\n","22     21     26                      21_joints_feet_bones_as\n","23     22     26                    22_food_survive_face_stay\n","24     23     23          23_plants_strength_provide_vascular\n","25     24     23     24_coating_surface_technology_university\n","26     25     22            25_freezing_ice_temperatures_cold\n","27     26     21                  26_seeds_seed_disperse_pods\n","28     27     19          27_olfactory_taste_receptors_detect\n","29     28     19              28_enzymes_cellulose_down_fungi\n","30     29     19                     29_slime_worm_soil_worms\n","31     30     17                  30_trees_trunks_winds_trunk\n","32     31     14                31_material_university_has_is\n","33     32     14          32_snakes_snake_rattlesnake_burmese\n","34     33     12              33_spores_launches_fungi_fungus\n","35     34     12         34_carbon_cyanobacteria_co2_carbonic\n","36     35     11          35_termites_ammonia_mounds_toxicity\n","37     36     11                  36_locust_legs_hind_locusts\n","38     37     11       37_mangroves_mangrove_roots_aerenchyma\n","39     38     10         38_radiation_uv_mycosporine_rotifers"],"text/html":["\n","  <div id=\"df-60a8aaac-f1ee-4dc8-813e-8f78c6ba4ea2\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Topic</th>\n","      <th>Count</th>\n","      <th>Name</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>-1</td>\n","      <td>697</td>\n","      <td>-1_of_the_to_from</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0</td>\n","      <td>140</td>\n","      <td>0_fish_the_water_of</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>123</td>\n","      <td>1_light_eyes_color_vision</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2</td>\n","      <td>92</td>\n","      <td>2_this_biomimicry_students_nature</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>3</td>\n","      <td>76</td>\n","      <td>3_sponges_shell_of_the</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>4</td>\n","      <td>70</td>\n","      <td>4_heat_blood_cooling_temperature</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>5</td>\n","      <td>49</td>\n","      <td>5_wings_flight_lift_birds</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>6</td>\n","      <td>48</td>\n","      <td>6_diversity_ecosystems_species_disturbances</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>7</td>\n","      <td>46</td>\n","      <td>7_bees_nests_wasps_honeybees</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>8</td>\n","      <td>44</td>\n","      <td>8_bats_sound_ear_vampire</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>9</td>\n","      <td>43</td>\n","      <td>9_bacteria_membranes_bacterial_flagella</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>10</td>\n","      <td>43</td>\n","      <td>10_ants_ant_colonies_nests</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>11</td>\n","      <td>39</td>\n","      <td>11_water_leaves_roots_desert</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>12</td>\n","      <td>35</td>\n","      <td>12_beetle_whirligig_legs_exoskeleton</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>13</td>\n","      <td>35</td>\n","      <td>13_protect_leaves_eating_toxic</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>14</td>\n","      <td>33</td>\n","      <td>14_larvae_predators_silk_liquid</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>15</td>\n","      <td>32</td>\n","      <td>15_robot_university_from_soft</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>16</td>\n","      <td>30</td>\n","      <td>16_pollen_flowers_pollinators_pollination</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>17</td>\n","      <td>30</td>\n","      <td>17_frogs_skin_venom_eggs</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>18</td>\n","      <td>28</td>\n","      <td>18_bacteria_metabolism_enzymes_oil</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>19</td>\n","      <td>28</td>\n","      <td>19_silk_spiders_spider_orb</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>20</td>\n","      <td>27</td>\n","      <td>20_light_photosynthesis_plants_maximize</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>21</td>\n","      <td>26</td>\n","      <td>21_joints_feet_bones_as</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>22</td>\n","      <td>26</td>\n","      <td>22_food_survive_face_stay</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>23</td>\n","      <td>23</td>\n","      <td>23_plants_strength_provide_vascular</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>24</td>\n","      <td>23</td>\n","      <td>24_coating_surface_technology_university</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>25</td>\n","      <td>22</td>\n","      <td>25_freezing_ice_temperatures_cold</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>26</td>\n","      <td>21</td>\n","      <td>26_seeds_seed_disperse_pods</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>27</td>\n","      <td>19</td>\n","      <td>27_olfactory_taste_receptors_detect</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>28</td>\n","      <td>19</td>\n","      <td>28_enzymes_cellulose_down_fungi</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>29</td>\n","      <td>19</td>\n","      <td>29_slime_worm_soil_worms</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>30</td>\n","      <td>17</td>\n","      <td>30_trees_trunks_winds_trunk</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>31</td>\n","      <td>14</td>\n","      <td>31_material_university_has_is</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>32</td>\n","      <td>14</td>\n","      <td>32_snakes_snake_rattlesnake_burmese</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>33</td>\n","      <td>12</td>\n","      <td>33_spores_launches_fungi_fungus</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>34</td>\n","      <td>12</td>\n","      <td>34_carbon_cyanobacteria_co2_carbonic</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>35</td>\n","      <td>11</td>\n","      <td>35_termites_ammonia_mounds_toxicity</td>\n","    </tr>\n","    <tr>\n","      <th>37</th>\n","      <td>36</td>\n","      <td>11</td>\n","      <td>36_locust_legs_hind_locusts</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>37</td>\n","      <td>11</td>\n","      <td>37_mangroves_mangrove_roots_aerenchyma</td>\n","    </tr>\n","    <tr>\n","      <th>39</th>\n","      <td>38</td>\n","      <td>10</td>\n","      <td>38_radiation_uv_mycosporine_rotifers</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-60a8aaac-f1ee-4dc8-813e-8f78c6ba4ea2')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path 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Bhargava","userId":"11618991347122399879"}},"outputId":"67ff2406-d40f-4de4-c4ea-321f50c2b3bb"},"execution_count":22,"outputs":[{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":22}]},{"cell_type":"code","source":["topic_model.get_topic(topic=24)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"dVzqLcS9OsZv","executionInfo":{"status":"ok","timestamp":1669741964740,"user_tz":480,"elapsed":298,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"de9f0f98-24c2-49fa-f9e8-4087d640bb1a"},"execution_count":23,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[('coating', 0.07108352296364116),\n"," ('surface', 0.05686603745877501),\n"," ('technology', 0.05272079203538456),\n"," ('university', 0.049614661713776605),\n"," ('uses', 0.04915324169307255),\n"," ('nano', 0.04668603092255476),\n"," ('reduce', 0.04347624316867146),\n"," ('from', 0.043181646459261744),\n"," ('that', 0.03516058058808168),\n"," ('lotus', 0.03501452319191607)]"]},"metadata":{},"execution_count":23}]},{"cell_type":"code","source":["import pandas as pd"],"metadata":{"id":"ypj1Jd_iPLmj","executionInfo":{"status":"ok","timestamp":1669741971025,"user_tz":480,"elapsed":175,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":24,"outputs":[]},{"cell_type":"code","source":["doc_df = pd.DataFrame({'topic': topics, 'document': summaries})"],"metadata":{"id":"lwvBHHfFPINv","executionInfo":{"status":"ok","timestamp":1669741975833,"user_tz":480,"elapsed":105,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":25,"outputs":[]},{"cell_type":"code","source":["topic_24 = doc_df[doc_df.topic == 24]\n","topic_24"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":770},"id":"PGkGzUBLPT2f","executionInfo":{"status":"ok","timestamp":1669741983633,"user_tz":480,"elapsed":86,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"219b7834-b175-4a1d-dd90-ab1f745d8f07"},"execution_count":26,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     topic                                           document\n","10      24  thin film solar cells from caltech and karlsru...\n","20      24  surface coating from ucla and university of ch...\n","50      24  invented to deter harmful particle buildup in ...\n","170     24  metalmark uses 3 d nanostructured materials to...\n","173     24  spotless from spotless materials is a sprayabl...\n","257     24  greenshield from greenshield finish uses a nan...\n","263     24  explore resources for teaching about superhydr...\n","269     24  in this short activity created for museum envi...\n","289     24  aircoat is a marine coating that prevents biof...\n","298     24  lumachrome security labels from nanotech have ...\n","301     24  purist technology from specialized has a uniqu...\n","302     24  kolouroptik from nanotech uses microstructures...\n","308     24  lotus coating from nasa repels dirt and dust t...\n","326     24  lotus effect technology from sto corp creates ...\n","366     24  nano film from tokyo university of science use...\n","368     24  bio inspired surface from northwestern univers...\n","378     24  transparent coating from tan trao university u...\n","386     24  biomap technology from iowa state university c...\n","388     24  microbe resistant coating from the university ...\n","395     24  nanofabrication method from university of illi...\n","398     24  novel marine coating from jilin university has...\n","400     24  nano coating from the university of geneva cre...\n","441     24  magink cling film from magink uses nanoattract..."],"text/html":["\n","  <div id=\"df-8e06a8b6-eea4-4386-8586-777db620ff92\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: 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<th>173</th>\n","      <td>24</td>\n","      <td>spotless from spotless materials is a sprayabl...</td>\n","    </tr>\n","    <tr>\n","      <th>257</th>\n","      <td>24</td>\n","      <td>greenshield from greenshield finish uses a nan...</td>\n","    </tr>\n","    <tr>\n","      <th>263</th>\n","      <td>24</td>\n","      <td>explore resources for teaching about superhydr...</td>\n","    </tr>\n","    <tr>\n","      <th>269</th>\n","      <td>24</td>\n","      <td>in this short activity created for museum envi...</td>\n","    </tr>\n","    <tr>\n","      <th>289</th>\n","      <td>24</td>\n","      <td>aircoat is a marine coating that prevents biof...</td>\n","    </tr>\n","    <tr>\n","      <th>298</th>\n","      <td>24</td>\n","      <td>lumachrome security labels from nanotech have ...</td>\n","    </tr>\n","    <tr>\n","      <th>301</th>\n","      <td>24</td>\n","      <td>purist technology from specialized has a uniqu...</td>\n","    </tr>\n","    <tr>\n","      <th>302</th>\n","      <td>24</td>\n","      <td>kolouroptik from nanotech uses microstructures...</td>\n","    </tr>\n","    <tr>\n","      <th>308</th>\n","      <td>24</td>\n","      <td>lotus coating from nasa repels dirt and dust t...</td>\n","    </tr>\n","    <tr>\n","      <th>326</th>\n","      <td>24</td>\n","      <td>lotus effect technology from sto corp creates ...</td>\n","    </tr>\n","    <tr>\n","      <th>366</th>\n","      <td>24</td>\n","      <td>nano film from tokyo university of science use...</td>\n","    </tr>\n","    <tr>\n","      <th>368</th>\n","      <td>24</td>\n","      <td>bio inspired surface from northwestern univers...</td>\n","    </tr>\n","    <tr>\n","      <th>378</th>\n","      <td>24</td>\n","      <td>transparent coating from tan trao university u...</td>\n","    </tr>\n","    <tr>\n","      <th>386</th>\n","      <td>24</td>\n","      <td>biomap technology from iowa state university c...</td>\n","    </tr>\n","    <tr>\n","      <th>388</th>\n","      <td>24</td>\n","      <td>microbe resistant coating from the university ...</td>\n","    </tr>\n","    <tr>\n","      <th>395</th>\n","      <td>24</td>\n","      <td>nanofabrication method from university of illi...</td>\n","    </tr>\n","    <tr>\n","      <th>398</th>\n","      <td>24</td>\n","      <td>novel marine coating from jilin university has...</td>\n","    </tr>\n","    <tr>\n","      <th>400</th>\n","      <td>24</td>\n","      <td>nano coating from the university of geneva cre...</td>\n","    </tr>\n","    <tr>\n","      <th>441</th>\n","      <td>24</td>\n","      <td>magink cling film from magink uses nanoattract...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8e06a8b6-eea4-4386-8586-777db620ff92')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg 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Bhargava","userId":"11618991347122399879"}},"outputId":"f241ad25-3248-45aa-cf5b-e6478c1412ab"},"execution_count":27,"outputs":[{"output_type":"stream","name":"stdout","text":["thin film solar cells from caltech and karlsruhe institute of technology have disordered nanoholes that reduce light reflection\n","surface coating from ucla and university of chinese academy of sciences uses hierarchical micro and nano structures to elevate surface temperatures and shed condensed water droplets\n","invented to deter harmful particle buildup in medical devices design also could be used in industrial pipes and more\n","metalmark uses 3 d nanostructured materials to break down and filter out contaminants in the air\n","spotless from spotless materials is a sprayable coating that keeps surfaces clean without the use of harsh chemicals\n","greenshield from greenshield finish uses a nano textured self cleaning surface to dramatically reduce the amount of fluorochemicals needed to repel water and oil based stains\n","explore resources for teaching about superhydrophobicity and nanotechnology using the story of how super water repellent lotus leaves inspired self cleaning surface coatings\n","in this short activity created for museum environments learners compare how water interacts with leaves that are superhydrophobic versus those that are not and are introduced to the role of nanostructures in nature and technology\n","aircoat is a marine coating that prevents biofouling and reduces friction by creating a layer of air along the hull\n","lumachrome security labels from nanotech have microstructured surfaces that change color for rapid authentication\n","purist technology from specialized has a unique surface that helps keep water bottles free from mold stains and odors\n","kolouroptik from nanotech uses microstructures to secure products and make them difficult to counterfeit\n","lotus coating from nasa repels dirt and dust to protect space equipment\n","lotus effect technology from sto corp creates a microtextured and superhydrophobic surface that repels dirt and water\n","nano film from tokyo university of science uses a thin layer of glassy carbon to reduce reflection and adhesion\n","bio inspired surface from northwestern university contains nanoscale peaks and valleys that help deter frost formation\n","transparent coating from tan trao university uses conical protuberances and paraffin wax to reduce ice formation\n","biomap technology from iowa state university creates a replica of a natural surface using undercooled metallic particles\n","microbe resistant coating from the university of bayreuth is made of nanostructures to deter bacterial attachment\n","nanofabrication method from university of illinois urbana champaign uses a dissolvable template to create nanostructures without causing damage\n","novel marine coating from jilin university has natural antifoulants and low surface energy that help prevent biofouling and reduce friction\n","nano coating from the university of geneva creates nanoscale surface bumps that help to reduce reflection and adhesion\n","magink cling film from magink uses nanoattraction technology to help adhere to surfaces without leaving a residue\n"]}]},{"cell_type":"code","source":["# generate labels\n","'''topic_labels = topic_model.get_topic_labels(nr_words = 4, topic_prefix = False, word_length = 15, separator=\" - \")\n","topic_model.set_topic_labels(topic_labels)'''\n","\n","\n","# create our own label\n","'''\n","topic_model.set_topic_labels({39: \"University\"})\n","topic_model.get_topic_info().head(10)\n","'''"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"id":"rZoyc3MuMWrV","executionInfo":{"status":"ok","timestamp":1669742020153,"user_tz":480,"elapsed":4371,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"f02424ef-556b-48b5-c839-408a698f4f29"},"execution_count":28,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'\\ntopic_model.set_topic_labels({39: \"University\"})\\ntopic_model.get_topic_info().head(10)\\n'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":28}]},{"cell_type":"code","source":["# Change n-grams without re-fitting our entire model\n","# topic_model.update_topics(summaries, n_gram_range = (1,3))\n","\n","# Merge Specific topics \n","# topic_model.merge_topics(summaries, topics_to_merge=[1,8,12])\n","\n","#Reduce the number of topics iteratively by merging them\n","# topic_model.reduce_topics(summaries, nr_topics=100)\n","\n","# Find specific topics \n","# topic__model.find_topics(\"decision trees\", top_n = 1)"],"metadata":{"id":"CbEe4TyVNXdm","executionInfo":{"status":"ok","timestamp":1669742022462,"user_tz":480,"elapsed":17,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":29,"outputs":[]},{"cell_type":"markdown","source":["# Visualizations"],"metadata":{"id":"LFh-_NtROfpn"}},{"cell_type":"code","source":[],"metadata":{"id":"LUlXpAvMOhXA","executionInfo":{"status":"aborted","timestamp":1669146714214,"user_tz":480,"elapsed":45,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["# Remove Stop Words, Lemmatize\n","\n","\n","\n"],"metadata":{"id":"CsivcXWR4yiH"}},{"cell_type":"code","source":["from nltk.corpus import stopwords\n","from nltk.stem import WordNetLemmatizer\n","nltk.download('stopwords')\n","nltk.download('wordnet')\n","nltk.download('omw-1.4')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"BxRYdLlixv6-","executionInfo":{"status":"ok","timestamp":1669742044716,"user_tz":480,"elapsed":52,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"76b35541-bad9-42aa-daa2-e9f5a158c7eb"},"execution_count":30,"outputs":[{"output_type":"stream","name":"stderr","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data]   Unzipping corpora/stopwords.zip.\n","[nltk_data] Downloading package wordnet to /root/nltk_data...\n","[nltk_data] Downloading package omw-1.4 to /root/nltk_data...\n"]},{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":30}]},{"cell_type":"code","source":["no_stop_word_summaries = raw_summaries"],"metadata":{"id":"4NtLTbEn04Rl","executionInfo":{"status":"ok","timestamp":1669742070549,"user_tz":480,"elapsed":414,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":31,"outputs":[]},{"cell_type":"code","source":["print(len(no_stop_word_summaries))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ADuH6Fk441km","executionInfo":{"status":"ok","timestamp":1669743263157,"user_tz":480,"elapsed":107,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"540eb296-7457-4385-c0ea-3490dcd7fc71"},"execution_count":32,"outputs":[{"output_type":"stream","name":"stdout","text":["2098\n"]}]},{"cell_type":"code","source":["stemmer = WordNetLemmatizer()\n","\n","for i in range(len(no_stop_word_summaries)):\n","  no_stop_word_summaries[i] = tokenizer.tokenize(str(no_stop_word_summaries[i]))\n","  no_stop_word_summaries[i]  =  \" \".join([word.lower() for word in no_stop_word_summaries[i] if word not in stopwords.words('english')])\n","  #no_stop_word_summaries[i] = \" \".join([stemmer.lemmatize(word) for word in no_stop_word_summaries[i]])"],"metadata":{"id":"KvBN1LEd4x9R","executionInfo":{"status":"ok","timestamp":1669743268557,"user_tz":480,"elapsed":4714,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":33,"outputs":[]},{"cell_type":"code","source":["no_stop_word_summaries[-1]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":53},"id":"xA4ErcF94xYR","executionInfo":{"status":"ok","timestamp":1669743271831,"user_tz":480,"elapsed":212,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"ea20e23d-2c95-44cb-a73d-a971eafe6ae3"},"execution_count":34,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'halobacteria produce chemical energy capturing light energy rhodopsin pigments using pump protons cell setting proton gradient used generate atp'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":34}]},{"cell_type":"code","source":["print(no_stop_word_summaries[:5])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"NAEb7sL22jDM","executionInfo":{"status":"ok","timestamp":1669743286484,"user_tz":480,"elapsed":849,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"a64df865-c943-40e9-d005-dea2d30ce5bb"},"execution_count":35,"outputs":[{"output_type":"stream","name":"stdout","text":["['wind turbines paris sorbonne university flexible reduce drag create powerful stroke', 'film university central florida tiny protuberances help reduce reflection damage', 'sampling device uc san diego claw like device collect soil samples minimal loss extraction', 'surgical sealant harvard double layered hydrogel effectively binds biological tissue without causing lasting damage', 'ceramic material harvard composed closed cell porous structure mitigates impact forces']\n"]}]},{"cell_type":"code","source":["topic_model = BERTopic()\n","\n","# Training procedure\n","topics, probs = topic_model.fit_transform(no_stop_word_summaries)"],"metadata":{"id":"snt8v06nyAyD","executionInfo":{"status":"ok","timestamp":1669743330566,"user_tz":480,"elapsed":37374,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":36,"outputs":[]},{"cell_type":"code","source":["topic_df = topic_model.get_topic_info()\n","topic_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"cnZWGum1yObS","executionInfo":{"status":"ok","timestamp":1669743330573,"user_tz":480,"elapsed":39,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"f3c73d93-eb22-47d9-d102-cbb01dd7e931"},"execution_count":37,"outputs":[{"output_type":"execute_result","data":{"text/plain":["    Topic  Count                                               Name\n","0      -1    750                             -1_the_water_via_using\n","1       0     94                            0_legs_feet_beetle_hind\n","2       1     94                  1_this_students_biomimicry_nature\n","3       2     79                       2_electric_fish_water_energy\n","4       3     63                       3_leaves_larvae_protect_tree\n","5       4     49                   4_shell_proteins_threads_sponges\n","6       5     45                        5_uv_algae_radiation_corals\n","7       6     42                            6_eyes_vision_eye_light\n","8       7     41                          7_ants_ant_colonies_nests\n","9       8     41                           8_wings_flight_lift_bird\n","10      9     40             9_photosynthesis_light_maximize_leaves\n","11     10     37       10_diversity_ecosystems_species_disturbances\n","12     11     33            11_material_struts_university_structure\n","13     12     33                         12_mucus_oxygen_gills_fish\n","14     13     31                     13_heat_blood_counter_exchange\n","15     14     30                 14_enzymes_cellulose_fungi_ammonia\n","16     15     29            15_bacteria_membrane_flagella_membranes\n","17     16     29                 16_bacteria_metabolism_oil_enzymes\n","18     17     29                         17_silk_spiders_spider_orb\n","19     18     29          18_pollen_flowers_pollinators_pollination\n","20     19     28                    19_butterfly_color_wings_colors\n","21     20     28         20_peptides_immune_antimicrobial_infection\n","22     21     27                            21_teeth_jaw_prey_mouth\n","23     22     27                          22_food_survive_face_stay\n","24     23     27          23_surface_nanostructures_university_nano\n","25     24     25                        24_seeds_seed_disperse_pods\n","26     25     24                     25_trees_trunks_branches_winds\n","27     26     23                   26_robot_soft_university_robotic\n","28     27     21                            27_frogs_skin_eggs_foam\n","29     28     20                    28_olfactory_antennae_odors_sex\n","30     29     18                    29_bees_pollen_brushes_forelegs\n","31     30     18             30_liquid_bubbles_grasshoppers_spittle\n","32     31     16                         31_sound_ear_hearing_waves\n","33     32     16                  32_ice_freezing_temperatures_cold\n","34     33     16                33_cellulose_fibers_strength_bamboo\n","35     34     15                          34_bats_bat_vampire_sonar\n","36     35     15                     35_penguins_coat_fur_squirrels\n","37     36     14                36_leaves_water_solutes_hydrophobic\n","38     37     13                     37_hydrogel_bio_responsive_ink\n","39     38     13                         38_desert_water_roots_soil\n","40     39     13           39_crab_pressure_hydrostatic_exoskeletal\n","41     40     12                   40_fire_eucalyptus_smoke_dormant\n","42     41     11                    41_predators_escape_tail_planes\n","43     42     10                  42_carbon_co2_carbonic_anhydrases\n","44     43     10            43_worm_polychaete_earthworm_earthworms\n","45     44     10  44_lantern_counterillumination_railroad_lucife...\n","46     45     10                     45_snow_cold_protect_groundsel"],"text/html":["\n","  <div id=\"df-ab7a0068-8a6e-4792-b343-c8cee0049f72\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Topic</th>\n","      <th>Count</th>\n","      <th>Name</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>-1</td>\n","      <td>750</td>\n","      <td>-1_the_water_via_using</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0</td>\n","      <td>94</td>\n","      <td>0_legs_feet_beetle_hind</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>94</td>\n","      <td>1_this_students_biomimicry_nature</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2</td>\n","      <td>79</td>\n","      <td>2_electric_fish_water_energy</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>3</td>\n","      <td>63</td>\n","      <td>3_leaves_larvae_protect_tree</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>4</td>\n","      <td>49</td>\n","      <td>4_shell_proteins_threads_sponges</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>5</td>\n","      <td>45</td>\n","      <td>5_uv_algae_radiation_corals</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>6</td>\n","      <td>42</td>\n","      <td>6_eyes_vision_eye_light</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>7</td>\n","      <td>41</td>\n","      <td>7_ants_ant_colonies_nests</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>8</td>\n","      <td>41</td>\n","      <td>8_wings_flight_lift_bird</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>9</td>\n","      <td>40</td>\n","      <td>9_photosynthesis_light_maximize_leaves</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>10</td>\n","      <td>37</td>\n","      <td>10_diversity_ecosystems_species_disturbances</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>11</td>\n","      <td>33</td>\n","      <td>11_material_struts_university_structure</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>12</td>\n","      <td>33</td>\n","      <td>12_mucus_oxygen_gills_fish</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>13</td>\n","      <td>31</td>\n","      <td>13_heat_blood_counter_exchange</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>14</td>\n","      <td>30</td>\n","      <td>14_enzymes_cellulose_fungi_ammonia</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>15</td>\n","      <td>29</td>\n","      <td>15_bacteria_membrane_flagella_membranes</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>16</td>\n","      <td>29</td>\n","      <td>16_bacteria_metabolism_oil_enzymes</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>17</td>\n","      <td>29</td>\n","      <td>17_silk_spiders_spider_orb</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>18</td>\n","      <td>29</td>\n","      <td>18_pollen_flowers_pollinators_pollination</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>19</td>\n","      <td>28</td>\n","      <td>19_butterfly_color_wings_colors</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>20</td>\n","      <td>28</td>\n","      <td>20_peptides_immune_antimicrobial_infection</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>21</td>\n","      <td>27</td>\n","      <td>21_teeth_jaw_prey_mouth</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>22</td>\n","      <td>27</td>\n","      <td>22_food_survive_face_stay</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>23</td>\n","      <td>27</td>\n","      <td>23_surface_nanostructures_university_nano</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>24</td>\n","      <td>25</td>\n","      <td>24_seeds_seed_disperse_pods</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>25</td>\n","      <td>24</td>\n","      <td>25_trees_trunks_branches_winds</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>26</td>\n","      <td>23</td>\n","      <td>26_robot_soft_university_robotic</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>27</td>\n","      <td>21</td>\n","      <td>27_frogs_skin_eggs_foam</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>28</td>\n","      <td>20</td>\n","      <td>28_olfactory_antennae_odors_sex</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>29</td>\n","      <td>18</td>\n","      <td>29_bees_pollen_brushes_forelegs</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>30</td>\n","      <td>18</td>\n","      <td>30_liquid_bubbles_grasshoppers_spittle</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>31</td>\n","      <td>16</td>\n","      <td>31_sound_ear_hearing_waves</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>32</td>\n","      <td>16</td>\n","      <td>32_ice_freezing_temperatures_cold</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>33</td>\n","      <td>16</td>\n","      <td>33_cellulose_fibers_strength_bamboo</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>34</td>\n","      <td>15</td>\n","      <td>34_bats_bat_vampire_sonar</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>35</td>\n","      <td>15</td>\n","      <td>35_penguins_coat_fur_squirrels</td>\n","    </tr>\n","    <tr>\n","      <th>37</th>\n","      <td>36</td>\n","      <td>14</td>\n","      <td>36_leaves_water_solutes_hydrophobic</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>37</td>\n","      <td>13</td>\n","      <td>37_hydrogel_bio_responsive_ink</td>\n","    </tr>\n","    <tr>\n","      <th>39</th>\n","      <td>38</td>\n","      <td>13</td>\n","      <td>38_desert_water_roots_soil</td>\n","    </tr>\n","    <tr>\n","      <th>40</th>\n","      <td>39</td>\n","      <td>13</td>\n","      <td>39_crab_pressure_hydrostatic_exoskeletal</td>\n","    </tr>\n","    <tr>\n","      <th>41</th>\n","      <td>40</td>\n","      <td>12</td>\n","      <td>40_fire_eucalyptus_smoke_dormant</td>\n","    </tr>\n","    <tr>\n","      <th>42</th>\n","      <td>41</td>\n","      <td>11</td>\n","      <td>41_predators_escape_tail_planes</td>\n","    </tr>\n","    <tr>\n","      <th>43</th>\n","      <td>42</td>\n","      <td>10</td>\n","      <td>42_carbon_co2_carbonic_anhydrases</td>\n","    </tr>\n","    <tr>\n","      <th>44</th>\n","      <td>43</td>\n","      <td>10</td>\n","      <td>43_worm_polychaete_earthworm_earthworms</td>\n","    </tr>\n","    <tr>\n","      <th>45</th>\n","      <td>44</td>\n","      <td>10</td>\n","      <td>44_lantern_counterillumination_railroad_lucife...</td>\n","    </tr>\n","    <tr>\n","      <th>46</th>\n","      <td>45</td>\n","      <td>10</td>\n","      <td>45_snow_cold_protect_groundsel</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ab7a0068-8a6e-4792-b343-c8cee0049f72')\"\n","            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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":37}]},{"cell_type":"code","source":["sum(topic_df.Count.to_list()) == len(no_stop_word_summaries)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"LN4EI-WByXIS","executionInfo":{"status":"ok","timestamp":1669743515804,"user_tz":480,"elapsed":3663,"user":{"displayName":"Eshan 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 -1  solar cells stanford honeycomb perovskite micr...\n","6        -1  cooling film ut austin finely structured trian...\n","10       -1  thin film solar cells caltech karlsruhe instit...\n","...     ...                                                ...\n","2087     -1  the membrane streptomyces lividans cells lets ...\n","2091     -1  the leaves potbelly airplant actively take ami...\n","2094     -1  the feathers birds fur mammals help conserve w...\n","2096     -1  chromatophores cephalopods provide active colo...\n","2097     -1  halobacteria produce chemical energy capturing...\n","\n","[750 rows x 2 columns]"],"text/html":["\n","  <div id=\"df-e879d1b6-4346-450e-be6b-ef03fdede4d8\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>topic</th>\n","      <th>document</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>-1</td>\n","      <td>wind turbines paris sorbonne university flexib...</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>-1</td>\n","      <td>film university central florida tiny protubera...</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>-1</td>\n","      <td>solar cells stanford honeycomb perovskite micr...</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>-1</td>\n","      <td>cooling film ut austin finely structured trian...</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>-1</td>\n","      <td>thin film solar cells caltech karlsruhe instit...</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2087</th>\n","      <td>-1</td>\n","      <td>the membrane streptomyces lividans cells lets ...</td>\n","    </tr>\n","    <tr>\n","      <th>2091</th>\n","      <td>-1</td>\n","      <td>the leaves potbelly airplant actively take ami...</td>\n","    </tr>\n","    <tr>\n","      <th>2094</th>\n","      <td>-1</td>\n","      <td>the feathers birds fur mammals help conserve w...</td>\n","    </tr>\n","    <tr>\n","      <th>2096</th>\n","      <td>-1</td>\n","      <td>chromatophores cephalopods provide active colo...</td>\n","    </tr>\n","    <tr>\n","      <th>2097</th>\n","      <td>-1</td>\n","      <td>halobacteria produce chemical energy capturing...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>750 rows × 2 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e879d1b6-4346-450e-be6b-ef03fdede4d8')\"\n","              title=\"Convert this dataframe 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google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-e879d1b6-4346-450e-be6b-ef03fdede4d8');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":39}]},{"cell_type":"code","source":["from bertopic import BERTopic\n","from sklearn.cluster import KMeans\n","\n","cluster_model = KMeans(n_clusters=50, n_init=50)\n","# topic_model = BERTopic(hdbscan_model=cluster_model)"],"metadata":{"id":"A6xza3E73XW4","executionInfo":{"status":"ok","timestamp":1669745369864,"user_tz":480,"elapsed":3355,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":50,"outputs":[]},{"cell_type":"code","source":["# reproducibility\n","umap_model = UMAP(n_neighbors=15, n_components=5, \n","                  min_dist=0.0, metric='cosine', random_state=42)\n","topic_model = BERTopic(umap_model=umap_model, hdbscan_model=cluster_model)"],"metadata":{"id":"MvGwle8Vkh5Z","executionInfo":{"status":"ok","timestamp":1669745369890,"user_tz":480,"elapsed":111,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}}},"execution_count":51,"outputs":[]},{"cell_type":"code","source":["topics, probs = topic_model.fit_transform(no_stop_word_summaries)\n","topic_df = topic_model.get_topic_info()\n","topic_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"ZxJUm-sg6ITU","executionInfo":{"status":"ok","timestamp":1669745419156,"user_tz":480,"elapsed":40174,"user":{"displayName":"Eshan Bhargava","userId":"11618991347122399879"}},"outputId":"222e9836-c0d8-4db2-9e6d-7d9b7a89ccd3"},"execution_count":52,"outputs":[{"output_type":"execute_result","data":{"text/plain":["    Topic  Count                                        Name\n","0       0     97           0_this_students_biomimicry_nature\n","1       1     75          1_bacteria_membrane_membranes_cell\n","2       2     67        2_enzymes_bacteria_metabolism_carbon\n","3       3     64       3_diversity_ecosystems_species_forest\n","4       4     61                     4_legs_hind_feet_locust\n","5       5     59            5_shell_sponges_proteins_threads\n","6       6     58         6_antennae_olfactory_honeybees_male\n","7       7     55      7_material_structure_university_struts\n","8       8     55              8_water_vortex_swimming_sharks\n","9       9     54                 9_leaves_water_roots_plants\n","10     10     54                 10_mucus_food_seawater_salt\n","11     11     54                    11_eyes_vision_light_eye\n","12     12     50                 12_seeds_seed_fire_disperse\n","13     13     50                  13_larvae_nests_paper_moth\n","14     14     49          14_pollen_bees_flowers_pollinators\n","15     15     46             15_protect_leaves_plants_eating\n","16     16     46                16_bone_spines_brain_fronted\n","17     17     46                   17_wings_flight_lift_drag\n","18     18     46                    18_sound_bats_sounds_ear\n","19     19     45                  19_teeth_mouth_prey_snakes\n","20     20     44     20_photosynthesis_light_maximize_leaves\n","21     21     43        21_exoskeleton_beetle_surfaces_stick\n","22     22     43       22_liquid_beetle_secretions_predators\n","23     23     42              23_light_color_butterfly_wings\n","24     24     42           24_ice_freezing_temperatures_cold\n","25     25     41                    25_frogs_skin_sperm_eggs\n","26     26     41                  26_ants_ant_colonies_nests\n","27     27     41                27_electric_fish_organs_stun\n","28     28     40             28_fiber_fibers_cellulose_cells\n","29     29     38         29_heat_cooling_temperature_counter\n","30     30     36                   30_algae_host_corals_reef\n","31     31     35                31_trees_stems_wind_branches\n","32     32     35              32_uv_radiation_lichens_spores\n","33     33     34  33_peptides_immune_antimicrobial_infection\n","34     34     34       34_surface_university_film_technology\n","35     35     33           35_nitrogen_termites_ammonia_soil\n","36     36     32                36_feathers_air_fur_penguins\n","37     37     31                   37_food_survive_face_stay\n","38     38     31               38_crab_pressure_setae_shrimp\n","39     39     30                  39_silk_spiders_spider_orb\n","40     40     27         40_hydrogel_university_adhesive_ink\n","41     41     27            41_robot_university_robotic_soft\n","42     42     24                  42_soil_keratin_worm_mucus\n","43     43     24        43_bioluminescence_light_color_worms\n","44     44     23                   44_blood_oxygen_gas_heart\n","45     45     23                45_leaves_protect_touch_snow\n","46     46     22    46_hummingbirds_hummingbird_beak_flytrap\n","47     47     20             47_slime_hagfish_tapeworm_molds\n","48     48     20             48_light_energy_solar_materials\n","49     49     11           49_noise_turbines_wind_turbulence"],"text/html":["\n","  <div id=\"df-c9e88784-42bf-4e22-94d8-89291fef15df\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" 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<td>59</td>\n","      <td>5_shell_sponges_proteins_threads</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>6</td>\n","      <td>58</td>\n","      <td>6_antennae_olfactory_honeybees_male</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>7</td>\n","      <td>55</td>\n","      <td>7_material_structure_university_struts</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>8</td>\n","      <td>55</td>\n","      <td>8_water_vortex_swimming_sharks</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>9</td>\n","      <td>54</td>\n","      <td>9_leaves_water_roots_plants</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>10</td>\n","      <td>54</td>\n","      <td>10_mucus_food_seawater_salt</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>11</td>\n","      <td>54</td>\n","      <td>11_eyes_vision_light_eye</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>12</td>\n","      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<td>45</td>\n","      <td>19_teeth_mouth_prey_snakes</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>20</td>\n","      <td>44</td>\n","      <td>20_photosynthesis_light_maximize_leaves</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>21</td>\n","      <td>43</td>\n","      <td>21_exoskeleton_beetle_surfaces_stick</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>22</td>\n","      <td>43</td>\n","      <td>22_liquid_beetle_secretions_predators</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>23</td>\n","      <td>42</td>\n","      <td>23_light_color_butterfly_wings</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>24</td>\n","      <td>42</td>\n","      <td>24_ice_freezing_temperatures_cold</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>25</td>\n","      <td>41</td>\n","      <td>25_frogs_skin_sperm_eggs</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>26</td>\n","      <td>41</td>\n","      <td>26_ants_ant_colonies_nests</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>27</td>\n","      <td>41</td>\n","      <td>27_electric_fish_organs_stun</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>28</td>\n","      <td>40</td>\n","      <td>28_fiber_fibers_cellulose_cells</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>29</td>\n","      <td>38</td>\n","      <td>29_heat_cooling_temperature_counter</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>30</td>\n","      <td>36</td>\n","      <td>30_algae_host_corals_reef</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>31</td>\n","      <td>35</td>\n","      <td>31_trees_stems_wind_branches</td>\n","    </tr>\n","    <tr>\n","      <th>32</th>\n","      <td>32</td>\n","      <td>35</td>\n","      <td>32_uv_radiation_lichens_spores</td>\n","    </tr>\n","    <tr>\n","      <th>33</th>\n","      <td>33</td>\n","      <td>34</td>\n","      <td>33_peptides_immune_antimicrobial_infection</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>34</td>\n","      <td>34</td>\n","      <td>34_surface_university_film_technology</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>35</td>\n","      <td>33</td>\n","      <td>35_nitrogen_termites_ammonia_soil</td>\n","    </tr>\n","    <tr>\n","      <th>36</th>\n","      <td>36</td>\n","      <td>32</td>\n","      <td>36_feathers_air_fur_penguins</td>\n","    </tr>\n","    <tr>\n","      <th>37</th>\n","      <td>37</td>\n","      <td>31</td>\n","      <td>37_food_survive_face_stay</td>\n","    </tr>\n","    <tr>\n","      <th>38</th>\n","      <td>38</td>\n","      <td>31</td>\n","      <td>38_crab_pressure_setae_shrimp</td>\n","    </tr>\n","    <tr>\n","      <th>39</th>\n","      <td>39</td>\n","      <td>30</td>\n","      <td>39_silk_spiders_spider_orb</td>\n","    </tr>\n","    <tr>\n","      <th>40</th>\n","      <td>40</td>\n","      <td>27</td>\n","      <td>40_hydrogel_university_adhesive_ink</td>\n","    </tr>\n","    <tr>\n","      <th>41</th>\n","      <td>41</td>\n","      <td>27</td>\n","      <td>41_robot_university_robotic_soft</td>\n","    </tr>\n","    <tr>\n","      <th>42</th>\n","      <td>42</td>\n","      <td>24</td>\n","      <td>42_soil_keratin_worm_mucus</td>\n","    </tr>\n","    <tr>\n","      <th>43</th>\n","      <td>43</td>\n","      <td>24</td>\n","      <td>43_bioluminescence_light_color_worms</td>\n","    </tr>\n","    <tr>\n","      <th>44</th>\n","      <td>44</td>\n","      <td>23</td>\n","      <td>44_blood_oxygen_gas_heart</td>\n","    </tr>\n","    <tr>\n","      <th>45</th>\n","      <td>45</td>\n","      <td>23</td>\n","      <td>45_leaves_protect_touch_snow</td>\n","    </tr>\n","    <tr>\n","      <th>46</th>\n","      <td>46</td>\n","      <td>22</td>\n","      <td>46_hummingbirds_hummingbird_beak_flytrap</td>\n","    </tr>\n","    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the liquid slime tallaganda velvet worm carrie...\n","1288     49  skin cells hagfish capable directly absorbing ...\n","1632     49  mammalian platelet cells stop blood loss wound...\n","1694     49           multiple components allow skin heal feel\n","1698     49  at least one marine slime mold glides around u...\n","1742     49  the radiating filaments fanworms filter water ...\n","1902     49  the headlike segment pork tapeworm attaches ho...\n","2044     49  the body surface tapeworm absorbs nutrients di..."],"text/html":["\n","  <div id=\"df-85ada05f-6ed8-4613-80af-2e0a484cea29\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","   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<tr>\n","      <th>738</th>\n","      <td>49</td>\n","      <td>nozzles underneath bacteria eject slime propel...</td>\n","    </tr>\n","    <tr>\n","      <th>760</th>\n","      <td>49</td>\n","      <td>mucin strands hagfish slime enable rapid slime...</td>\n","    </tr>\n","    <tr>\n","      <th>892</th>\n","      <td>49</td>\n","      <td>glands hagfish secrete concentrated slime expa...</td>\n","    </tr>\n","    <tr>\n","      <th>1044</th>\n","      <td>49</td>\n","      <td>the proteins within tallaganda velvet worm sli...</td>\n","    </tr>\n","    <tr>\n","      <th>1264</th>\n","      <td>49</td>\n","      <td>spermatophore squid attaches evagination using...</td>\n","    </tr>\n","    <tr>\n","      <th>1266</th>\n","      <td>49</td>\n","      <td>the liquid slime tallaganda velvet worm carrie...</td>\n","    </tr>\n","    <tr>\n","      <th>1288</th>\n","      <td>49</td>\n","      <td>skin cells hagfish capable directly absorbing ...</td>\n","    </tr>\n","    <tr>\n","      <th>1632</th>\n","      <td>49</td>\n","      <td>mammalian platelet cells stop blood loss wound...</td>\n","    </tr>\n","    <tr>\n","      <th>1694</th>\n","      <td>49</td>\n","      <td>multiple components allow skin heal feel</td>\n","    </tr>\n","    <tr>\n","      <th>1698</th>\n","      <td>49</td>\n","      <td>at least one marine slime mold glides around u...</td>\n","    </tr>\n","    <tr>\n","      <th>1742</th>\n","      <td>49</td>\n","      <td>the radiating filaments fanworms filter water ...</td>\n","    </tr>\n","    <tr>\n","      <th>1902</th>\n","      <td>49</td>\n","      <td>the headlike segment pork tapeworm attaches ho...</td>\n","    </tr>\n","    <tr>\n","      <th>2044</th>\n","      <td>49</td>\n","      <td>the body surface tapeworm absorbs nutrients di...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-85ada05f-6ed8-4613-80af-2e0a484cea29')\"\n","            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