---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---

# C1-topic-model-100

This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. 
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. 

## Usage 

To use this model, please install BERTopic:

```
pip install -U bertopic
```

You can use the model as follows:

```python
from bertopic import BERTopic
topic_model = BERTopic.load("AlexanderHolmes0/C1-topic-model-100")

topic_model.get_topic_info()
```

An example of the Chat GPT - 3.5 Turbo representations:
!["multiaspect.png"](Reduced_datamapplot-C1-Topics-no-logo.png)

## Topic overview

* Number of topics: 100
* Number of training documents: 112332



<details>
  <summary>Click here for an overview of all topics.</summary>

|   Topic | Representation                                                                                                                           |   Count | Name                                            |
|--------:|:-----------------------------------------------------------------------------------------------------------------------------------------|--------:|:------------------------------------------------|
|      -1 | ['stop', 'people', 'need', 'help', 'banking', 'like', 'work', 'business', 'money', 'make']                                               |    4738 | -1_stop_people_need_help                        |
|       0 | ['account', 'card', 'customer', 'service', 'phone', 'credit', 've', 'payment', 'help', 'number']                                         |   21155 | 0_account_card_customer_service                 |
|       1 | ['game', 'thank', 'win', 'team', 'bazinga_sb', 'thanks', 'play', 'lounge', 'congrats', 'hype']                                           |   11918 | 1_game_thank_win_team                           |
|       2 | ['app', 'need', 'stop', 'help', 'lol', 'shit', 'ok', 'like', 'cares', 'guys']                                                            |   11946 | 2_app_need_stop_help                            |
|       3 | ['card', 'credit', 'account', 'customer', 'told', 'company', 'payment', 'called', 'service', 'capitol']                                  |    6152 | 3_card_credit_account_customer                  |
|       4 | ['friend', 'request', 'friends', 'send', 'mind', 'profile', 'facebook', 'sending', 'don', 'hello']                                       |    3403 | 4_friend_request_friends_send                   |
|       5 | ['community', 'event', 'lounge', 'thank', 'presented', 'program', 'food', 'business', 'join', 'suppo']                                   |    4398 | 5_community_event_lounge_thank                  |
|       6 | ['trading', 'whatsapp', 'forex', 'investment', 'profit', 'trade', 'invest', 'contact', 'crypto', 'trader']                               |    2804 | 6_trading_whatsapp_forex_investment             |
|       7 | ['', '', '', '', '', '', '', '', '', '']                                                                                                 |    1191 | 7____                                           |
|       8 | ['ho', 'genial', 'travolta', 'john', 'love', 'shimmmerrrr', 'lovettt', 'nnniiiccceeeee', 'vjjbnm', 'listos']                             |    1157 | 8_ho_genial_travolta_john                       |
|       9 | ['santa', 'john', 'travolta', 'love', 'movie', 'christmas', 'ho', 'moves', 'claus', 'sexy']                                              |    1695 | 9_santa_john_travolta_love                      |
|      10 | ['que', 'en', 'la', 'para', 'el', 'es', 'una', 'por', 'los', 'mi']                                                                       |    1532 | 10_que_en_la_para                               |
|      11 | ['worst', 'service', 'company', 'customer', 'bank', 'horrible', 'terrible', 'card', 'account', 'don']                                    |    2417 | 11_worst_service_company_customer               |
|      12 | ['love', 'awesome', 'happy', 'best', 'great', 'brilliant', 'wow', 'bihday', 'cool', 'amen']                                              |    2736 | 12_love_awesome_happy_best                      |
|      13 | ['people', 'blessed', 'grands', 'cus', 'paying', 'stay', 'hard', 'god', 'struggling', 'message']                                         |     896 | 13_people_blessed_grands_cus                    |
|      14 | ['later', 'connect', 'definitely', 'inbox', 'hello', 'thank', 'mr', 'message', 'll', 'hi']                                               |    4157 | 14_later_connect_definitely_inbox               |
|      15 | ['shimmerr', 'kt', 'txscapitalone', 'capit', 'word', 'givaway', 'bejeweled', 'shine', 'ts', 'girl']                                      |     535 | 15_shimmerr_kt_txscapitalone_capit              |
|      16 | ['credit', 'card', 'score', 'limit', 'pay', 'balance', 'cards', 'increase', 'payment', 'personal']                                       |    5072 | 16_credit_card_score_limit                      |
|      17 | ['spell', 'dr', 'caster', 'ex', 'lover', 'marriage', 'husband', 'love', 'relationship', 'page']                                          |     672 | 17_spell_dr_caster_ex                           |
|      18 | ['love', 'business', 'thank', 'credit', 'best', 'card', 'bank', 'great', 'capitol', 'cards']                                             |    2133 | 18_love_business_thank_credit                   |
|      19 | ['links', 'mm', 'click', 'nutshell', 'join', 'corey', 'referral', 'unabridged', 'gelmtree', 'chainzz']                                   |     515 | 19_links_mm_click_nutshell                      |
|      20 | ['travel', 'points', 'venture', 'miles', 'flights', 'trip', 'flight', 'book', 'bonus', 'card']                                           |    1271 | 20_travel_points_venture_miles                  |
|      21 | ['slash', 'guitar', 'guitarist', 'riff', 'song', 'play', 'solo', 'guns', 'playing', 'roses']                                             |     630 | 21_slash_guitar_guitarist_riff                  |
|      22 | ['reachout', 'miller', 'david', 'comes', 'investing', 'financial', 'help', 'diane', 'diana', 'christine']                                |     303 | 22_reachout_miller_david_comes                  |
|      23 | ['preston', 'mourning', 'underneath', 'commenting', 'kelly', 'clicking', 'loss', 'management', 'wife', 'travolta']                       |     211 | 23_preston_mourning_underneath_commenting       |
|      24 | ['tnt', 'qbs', 'reminded', 'tune', 'headed', 'vegas', 'tweet', 'june', 'time', 'banners']                                                |     222 | 24_tnt_qbs_reminded_tune                        |
|      25 | ['working', 'website', 'isn', 'expired', 'enter', 'app', 'haven', 'gotten', 'doesn', 'work']                                             |     947 | 25_working_website_isn_expired                  |
|      26 | ['suck', 'sucks', 'lol', 'fake', 'sounds', 'joke', 'trash', 'stupid', 'bad', 'shit']                                                     |    1603 | 26_suck_sucks_lol_fake                          |
|      27 | ['love', 'cute', 'absolutely', 'ittttt', 'lovelove', 'loveeeee', 'song', 'grandkids', 'awesome', 'dancing']                              |     292 | 27_love_cute_absolutely_ittttt                  |
|      28 | ['mobile', 'app', 'digital', 'options', 'shopping', 'set', 'safely', 'card', 'banking', 'phone']                                         |     554 | 28_mobile_app_digital_options                   |
|      29 | ['cardigan', 'flannel', 'plaid', 'tsxccapitalone', 'cardigans', 'caedigan', 'taxcaptialone', 'ysxcapitalone', 'robe', 'tsxcapit']        |     191 | 29_cardigan_flannel_plaid_tsxccapitalone        |
|      30 | ['presale', 'event', 'taylorswift', 'venue', 'np', 'cardholder', 'events', 'gain', 'staing', 'stas']                                     |     403 | 30_presale_event_taylorswift_venue              |
|      31 | ['donna', 'pescow', 'annette', 'fever', 'looks', 'saturday', 'cameo', 'movie', 'night', 'actress']                                       |     340 | 31_donna_pescow_annette_fever                   |
|      32 | ['card', 'best', 'great', 'love', 'cards', 'got', 'credit', 'better', 'chase', 'good']                                                   |     632 | 32_card_best_great_love                         |
|      33 | ['flannel', 'flannnel', 'scymbags', 'rsxcapitalone', 'pumpkinseason', 'xgiveaway', 'tsxca', 'fallvibes', 'tsxcpaitalone', 'cozyflannel'] |     172 | 33_flannel_flannnel_scymbags_rsxcapitalone      |
|      34 | ['car', 'auto', 'navigator', 'cars', 'buying', 'vehicle', 'dealership', 'truck', 'pre', 'suv']                                           |     566 | 34_car_auto_navigator_cars                      |
|      35 | ['𝗍𝗁𝖺𝗍', '𝖺𝗇𝖽', '𝗈𝗎𝗋', '𝗒𝗈𝗎', '𝗍𝗈', '𝖺𝖼𝖼𝗈𝗎𝗇𝗍', '𝗒𝗈𝗎𝗋', '𝖼𝗈𝗉𝗒𝗋𝗂𝗀𝗁𝗍', '𝗍𝗁𝖾', '𝐲𝐨𝐮']                                                        |     416 | 35_𝗍𝗁𝖺𝗍_𝖺𝗇𝖽_𝗈𝗎𝗋_𝗒𝗈𝗎                             |
|      36 | ['sure', 'true', 'correct', 'yessir', 'yea', 'yessssss', 'yess', 'yesss', 'duh', 'thank']                                                |     329 | 36_sure_true_correct_yessir                     |
|      37 | ['beard', 'chef', 'awards', 'beardfoundation', 'james', 'restaurant', 'presented', 'chefs', 'taste', 'jbfa']                             |     223 | 37_beard_chef_awards_beardfoundation            |
|      38 | ['worst', 'bank', 'service', 'customer', 'fucking', 'hate', 'banking', 'trash', 'company', 'worse']                                      |    1098 | 38_worst_bank_service_customer                  |
|      39 | ['bank', 'banks', 'banking', 'best', 'chairman', 'branches', 'chairperson', 'great', 'dg', 'atms']                                       |     397 | 39_bank_banks_banking_best                      |
|      40 | ['student', 'unlimited', 'key', 'quicksilver', 'cash', 'savorone', 'earning', 'earn', 'enteainment', 'presents']                         |     343 | 40_student_unlimited_key_quicksilver            |
|      41 | ['teambradgers', 'hardwood', 'winning', 'head', 'winners', 'congratulations', 'luck', 'came', 'close', 'better']                         |     178 | 41_teambradgers_hardwood_winning_head           |
|      42 | ['giveway', 'tstheerastour', 'tsxcapitalone', 'givesway', 'givaway', 'leopard', 'tscott', 'giveaway', 'tsxcapital', 'ts']                |     155 | 42_giveway_tstheerastour_tsxcapitalone_givesway |
|      43 | ['love', 'awesome', 'cute', 'omg', 'absolutely', 'cool', 'oh', 'niiice', 'loooovvve', 'fantastic']                                       |     386 | 43_love_awesome_cute_omg                        |
|      44 | ['postdoctoral', 'και', '𝐭𝐨', '𝐚𝐧𝐝', 'رسول', '𝗒𝗈𝗎𝗋', 'να', 'mr', '𝗍𝗁𝖾', 'ㅤㅤ']                                                          |     357 | 44_postdoctoral_και_𝐭𝐨_𝐚𝐧𝐝                      |
|      45 | ['platinum', 'excluded', 'cards', 'credit', 'secured', 'card', 'mastercard', 'creditstacks', 'crédito', 'deposit']                       |     127 | 45_platinum_excluded_cards_credit               |
|      46 | ['solving', 'ai', 'data', 'methods', 'learning', 'oracle', 'systems', 'algebraic', 'etem', 'machine']                                    |     219 | 46_solving_ai_data_methods                      |
|      47 | ['dm', 'sent', 'haven', 'gotten', 'dms', 'check', 'received', 'response', 'answer', 'reply']                                             |     289 | 47_dm_sent_haven_gotten                         |
|      48 | ['nice', 'cool', 'good', 'cute', 'dimples', 'pretty', 'funny', 'lovely', 'hello', 'hey']                                                 |     206 | 48_nice_cool_good_cute                          |
|      49 | ['cafés', 'branches', 'offices', 'closed', 'holiday', 'app', 'recognition', 'celebration', 'january', 'observance']                      |     130 | 49_cafés_branches_offices_closed                |
|      50 | ['gt', 'page', 'javier', 'facebook', 'sergio', 'boutique', 'account', 'salvation', 'chalk', 'steps']                                     |     191 | 50_gt_page_javier_facebook                      |
|      51 | ['fault', 'mailbox', 'buyer', 'flood', 'vendors', 'loves', 'costs', 'fyi', 'shady', 'lines']                                             |      89 | 51_fault_mailbox_buyer_flood                    |
|      52 | ['responsibility', 'expect', 'accept', 'unethical', 'perjury', 'business', 'involved', 'guilty', 'abusing', 'purposes']                  |      88 | 52_responsibility_expect_accept_unethical       |
|      53 | ['holiday', 'encore', 'noël', 'livestream', 'songs', 'album', 'spirit', 'performance', 'featuring', 'season']                            |      44 | 53_holiday_encore_noël_livestream               |
|      54 | ['bio', 'webinar', 'mcws', 'capitalonecafe', 'wcwsselfie', 'program', 'unprecedented', 'predictable', 'brand', 'capitalize']             |     565 | 54_bio_webinar_mcws_capitalonecafe              |
|      55 | ['agree', 'true', 'haha', 'ha', 'right', 'mendez', 'dianna', 'sure', 'yea', 'exactly']                                                   |     324 | 55_agree_true_haha_ha                           |
|      56 | ['word', 'code', 'shib', 'enter', 'biiiish', 'shimma', 'shimmerr', 'txscapitalone', 'gotta', 'hashtags']                                 |     113 | 56_word_code_shib_enter                         |
|      57 | ['uber', 'eats', 'complimentary', 'orders', 'nov', 'membership', 'eligible', 'unlimited', 'terms', 'cardholders']                        |      46 | 57_uber_eats_complimentary_orders               |
|      58 | ['bbb', 'tracker', 'scams', 'scam', 'scamtracker', 'bbbscamtracker', 'org', 'amazon', 'detect', 'protect']                               |      85 | 58_bbb_tracker_scams_scam                       |
|      59 | ['count', 'days', 'fucking', 'bitch', 'fuckin', 'counting', 'yall', 'ups', 'ur', 'numbered']                                             |      89 | 59_count_days_fucking_bitch                     |
|      60 | ['tradelines', 'cpn', 'repair', 'removal', 'inquiries', 'sba', 'score', 'loans', 'boosting', 'credit']                                   |     102 | 60_tradelines_cpn_repair_removal                |
|      61 | ['gas', 'prices', 'inflation', 'cars', 'electric', 'gasoline', 'falling', 'climbing', 'electricity', 'economy']                          |     159 | 61_gas_prices_inflation_cars                    |
|      62 | ['spark', 'antonelli', 'preset', 'cash', 'cheese', 'unlimited', 'helps', 'shop', 'spending', 'grow']                                     |      57 | 62_spark_antonelli_preset_cash                  |
|      63 | ['waiting', 'room', 'queue', 'open', 'lounge', 'wait', 'denver', 'elevator', 'does', 'presale']                                          |     455 | 63_waiting_room_queue_open                      |
|      64 | ['need', 'want', 'got', 'officce', 'wish', 'rhode', 'interested', 'waiting', 'waverly', 'needs']                                         |     371 | 64_need_want_got_officce                        |
|      65 | ['taher', 'bapary', 'abu', 'wow', 'baah', 'testyes', 'relaxday', 'ernest', 'videos', 'flower']                                           |      46 | 65_taher_bapary_abu_wow                         |
|      66 | ['atos', 'story', 'cloud', 'datacenter', 'upl', 'transformative', 'wp', 'laid', 'personalized', 'content']                               |      77 | 66_atos_story_cloud_datacenter                  |
|      67 | ['song', 'itunes', 'radio', 'rainy', 'bts', 'cha', 'ranked', 'uk', 'play', 'hear']                                                       |     163 | 67_song_itunes_radio_rainy                      |
|      68 | ['dining', 'cardholders', 'reservations', 'restaurants', 'rated', 'curated', 'reservation', 'culinary', 'rewards', 'sought']             |      69 | 68_dining_cardholders_reservations_restaurants  |
|      69 | ['grant', 'apply', 'upfront', 'federal', 'government', 'grants', 'retired', 'program', 'public', 'assistance']                           |     103 | 69_grant_apply_upfront_federal                  |
|      70 | ['scarf', 'tsgiveaway', 'towel', 'tote', 'bag', 'tstheerastour', 'red', 'beach', 'kept', 'old']                                          |      53 | 70_scarf_tsgiveaway_towel_tote                  |
|      71 | ['annual', 'fee', 'fees', 'loffland', 'tam', 'yearly', 'spend', 'year', 'charged', 'pay']                                                |     204 | 71_annual_fee_fees_loffland                     |
|      72 | ['unsubcribe', 'mailing', 'stop', 'remove', 'list', 'emails', 'gk', 'removed', 'email', 'unsubscribed']                                  |     106 | 72_unsubcribe_mailing_stop_remove               |
|      73 | ['crooks', 'money', 'scumbags', 'stole', 'thieves', 'steal', 'fraud', 'counts', 'people', 'scam']                                        |     633 | 73_crooks_money_scumbags_stole                  |
|      74 | ['mcws', 'rebs', 'omaha', 'wps', 'toddy', 'hotty', 'game', 'olemaha', 'hottytoddy', 'hogs']                                              |     105 | 74_mcws_rebs_omaha_wps                          |
|      75 | ['bejeweled', 'ok', 'hi', 'mm', 'tay', 'hola', 'epic', 'ally', 'maria', 'gay']                                                           |     719 | 75_bejeweled_ok_hi_mm                           |
|      76 | ['pov', 'misclicked', 'clicked', 'clicky', 'pa', 'screen', 'misclick', 'missed', 'did', 'click']                                         |     174 | 76_pov_misclicked_clicked_clicky                |
|      77 | ['financial', 'tips', 'budget', 'empowerment', 'healthy', 'goals', 'literacy', 'money', 'check', 'save']                                 |     379 | 77_financial_tips_budget_empowerment            |
|      78 | ['wynn', 'match', 'brady', 'hole', 'las', 'tom', 'returns', 'rodgers', 'patrick', 'vegas']                                               |      70 | 78_wynn_match_brady_hole                        |
|      79 | ['upgrade', 'upgrades', 'upgraded', 'update', 'seats', 'seat', 'app', 'increase', 'upgradeeee', 'darkmode']                              |     142 | 79_upgrade_upgrades_upgraded_update             |
|      80 | ['step', 'tapn', 'wit', 'walking', 'method', 'helped', 'tapp', 'got', 'paid', 'split']                                                   |     120 | 80_step_tapn_wit_walking                        |
|      81 | ['facilitate', 'form', 'cybersuppospy', 'communicate', 'following', 'expedite', 'channel', 'dispute', 'suppo', 'promptly']               |      46 | 81_facilitate_form_cybersuppospy_communicate    |
|      82 | ['debt', 'credit', 'need', 'card', 'dm', 'pay', 'debts', 'help', 'bills', 'cards']                                                       |     375 | 82_debt_credit_need_card                        |
|      83 | ['press', 'interactive', 'seat', 'conference', 'hot', 'et', 'qbs', 'questions', 'reply', 'answer']                                       |      31 | 83_press_interactive_seat_conference            |
|      84 | ['minority', 'jackie', 'scholarship', 'nation', 'donating', 'premier', 'programs', 'students', 'leadership', 'walk']                     |      39 | 84_minority_jackie_scholarship_nation           |
|      85 | ['chefs', 'chef', 'exclusive', 'dining', 'cardholders', 'recognized', 'viue', 'erick', 'hyde', 'restaurants']                            |      30 | 85_chefs_chef_exclusive_dining                  |
|      86 | ['flannel', 'cardigan', 'scarf', 'jk', 'code', 'lol', 'word', 'tis', 'oops', 'seamstr']                                                  |      91 | 86_flannel_cardigan_scarf_jk                    |
|      87 | ['sell', 'sold', 'sellout', 'selling', 'tim', 'marketing', 'piece', 'wage', 'saying', 'genius']                                          |      90 | 87_sell_sold_sellout_selling                    |
|      88 | ['movie', 'saw', 'watch', 'watching', 'video', 'tv', 'watched', 'love', 'night', 'seen']                                                 |     411 | 88_movie_saw_watch_watching                     |
|      89 | ['denied', 'approved', 'applied', 'pre', 'tried', 'qualify', 'won', 'didn', 'let', 'apply']                                              |     188 | 89_denied_approved_applied_pre                  |
|      90 | ['balali', 'dizabali', 'manager', 'blame', 'changing', 'bought', 'complete', 'withdrawal', 'oppounity', 'invest']                        |      24 | 90_balali_dizabali_manager_blame                |
|      91 | ['office', 'direct', 'contact', 'don', 'erica', 'renan', 'lizarralde', 'vallecilla', 'kirklnd', 'offices']                               |      60 | 91_office_direct_contact_don                    |
|      92 | ['stimulus', 'latest', 'mon', 'dates', 'track', 'round', 'government', 'federal', 'grow', 'transferred']                                 |      23 | 92_stimulus_latest_mon_dates                    |
|      93 | ['itbot', 'cash', 'gyvi', 'creditcard', 'best', 'wallethub', 'credit', 'visa', 'mastercard', 'couple']                                   |     199 | 93_itbot_cash_gyvi_creditcard                   |
|      94 | ['pakistan', 'donate', 'relief', 'flood', 'activities', 'purchase', 'islamabad', 'belgium', 'rawalpindi', 'ptt']                         |      27 | 94_pakistan_donate_relief_flood                 |
|      95 | ['lottery', 'winner', 'jackpot', 'fan', 'million', 'powerball', 'sum', 'funds', 'dollars', 'lucky']                                      |      77 | 95_lottery_winner_jackpot_fan                   |
|      96 | ['payments', 'sending', 'email', 'payment', 'suppo', 'mail', 'stop', 'mailed', 'check', 'days']                                          |     127 | 96_payments_sending_email_payment               |
|      97 | ['cardholders', 'star', 'mlb', 'ultimate', 'allstarweek', 'giveaways', 'performances', 'official', 'gate', 'highlights']                 |      57 | 97_cardholders_star_mlb_ultimate                |
|      98 | ['reds', 'disparage', 'toss', 'stats', 'count', 'overrated', 'weight', 'pure', 'vccs', 'acquaintd']                                      |      84 | 98_reds_disparage_toss_stats                    |
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: None
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: 100
* seed_topic_list: None
* top_n_words: 10
* verbose: True

## Framework versions

* Numpy: 1.26.4
* HDBSCAN: 0.8.33
* UMAP: 0.5.5
* Pandas: 2.0.3
* Scikit-Learn: 1.4.1.post1
* Sentence-transformers: 2.5.1
* Transformers: 4.40.0
* Numba: 0.59.1
* Plotly: 5.20.0
* Python: 3.11.8