Add BERTopic model

README.md

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+
+---
+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()
+```
+
+## Topic overview
+
+* Number of topics: 100
+* Number of training documents: 112332
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | stop - people - need - help - banking | 84 | -1_stop_people_need_help | 
+| 0 | account - card - customer - service - phone | 4738 | 0_account_card_customer_service | 
+| 1 | game - thank - win - team - bazinga_sb | 21155 | 1_game_thank_win_team | 
+| 2 | app - need - stop - help - lol | 11918 | 2_app_need_stop_help | 
+| 3 | card - credit - account - customer - told | 11946 | 3_card_credit_account_customer | 
+| 4 | friend - request - friends - send - mind | 6152 | 4_friend_request_friends_send | 
+| 5 | community - event - lounge - thank - presented | 3403 | 5_community_event_lounge_thank | 
+| 6 | trading - whatsapp - forex - investment - profit | 4398 | 6_trading_whatsapp_forex_investment | 
+| 7 |  -  -  -  -  | 2804 | 7____ | 
+| 8 | ho - genial - travolta - john - love | 1191 | 8_ho_genial_travolta_john | 
+| 9 | santa - john - travolta - love - movie | 1157 | 9_santa_john_travolta_love | 
+| 10 | que - en - la - para - el | 1695 | 10_que_en_la_para | 
+| 11 | worst - service - company - customer - bank | 1532 | 11_worst_service_company_customer | 
+| 12 | love - awesome - happy - best - great | 2417 | 12_love_awesome_happy_best | 
+| 13 | people - blessed - grands - cus - paying | 2736 | 13_people_blessed_grands_cus | 
+| 14 | later - connect - definitely - inbox - hello | 896 | 14_later_connect_definitely_inbox | 
+| 15 | shimmerr - kt - txscapitalone - capit - word | 4157 | 15_shimmerr_kt_txscapitalone_capit | 
+| 16 | credit - card - score - limit - pay | 535 | 16_credit_card_score_limit | 
+| 17 | spell - dr - caster - ex - lover | 5072 | 17_spell_dr_caster_ex | 
+| 18 | love - business - thank - credit - best | 672 | 18_love_business_thank_credit | 
+| 19 | links - mm - click - nutshell - join | 2133 | 19_links_mm_click_nutshell | 
+| 20 | travel - points - venture - miles - flights | 515 | 20_travel_points_venture_miles | 
+| 21 | slash - guitar - guitarist - riff - song | 1271 | 21_slash_guitar_guitarist_riff | 
+| 22 | reachout - miller - david - comes - investing | 630 | 22_reachout_miller_david_comes | 
+| 23 | preston - mourning - underneath - commenting - kelly | 303 | 23_preston_mourning_underneath_commenting | 
+| 24 | tnt - qbs - reminded - tune - headed | 211 | 24_tnt_qbs_reminded_tune | 
+| 25 | working - website - isn - expired - enter | 222 | 25_working_website_isn_expired | 
+| 26 | suck - sucks - lol - fake - sounds | 947 | 26_suck_sucks_lol_fake | 
+| 27 | love - cute - absolutely - ittttt - lovelove | 1603 | 27_love_cute_absolutely_ittttt | 
+| 28 | mobile - app - digital - options - shopping | 292 | 28_mobile_app_digital_options | 
+| 29 | cardigan - flannel - plaid - tsxccapitalone - cardigans | 554 | 29_cardigan_flannel_plaid_tsxccapitalone | 
+| 30 | presale - event - taylorswift - venue - np | 191 | 30_presale_event_taylorswift_venue | 
+| 31 | donna - pescow - annette - fever - looks | 403 | 31_donna_pescow_annette_fever | 
+| 32 | card - best - great - love - cards | 340 | 32_card_best_great_love | 
+| 33 | flannel - flannnel - scymbags - rsxcapitalone - pumpkinseason | 632 | 33_flannel_flannnel_scymbags_rsxcapitalone | 
+| 34 | car - auto - navigator - cars - buying | 172 | 34_car_auto_navigator_cars | 
+| 35 | 𝗍𝗁𝖺𝗍 - 𝖺𝗇𝖽 - 𝗈𝗎𝗋 - 𝗒𝗈𝗎 - 𝗍𝗈 | 566 | 35_𝗍𝗁𝖺𝗍_𝖺𝗇𝖽_𝗈𝗎𝗋_𝗒𝗈𝗎 | 
+| 36 | sure - true - correct - yessir - yea | 416 | 36_sure_true_correct_yessir | 
+| 37 | beard - chef - awards - beardfoundation - james | 329 | 37_beard_chef_awards_beardfoundation | 
+| 38 | worst - bank - service - customer - fucking | 223 | 38_worst_bank_service_customer | 
+| 39 | bank - banks - banking - best - chairman | 1098 | 39_bank_banks_banking_best | 
+| 40 | student - unlimited - key - quicksilver - cash | 397 | 40_student_unlimited_key_quicksilver | 
+| 41 | teambradgers - hardwood - winning - head - winners | 343 | 41_teambradgers_hardwood_winning_head | 
+| 42 | giveway - tstheerastour - tsxcapitalone - givesway - givaway | 178 | 42_giveway_tstheerastour_tsxcapitalone_givesway | 
+| 43 | love - awesome - cute - omg - absolutely | 155 | 43_love_awesome_cute_omg | 
+| 44 | postdoctoral - και - 𝐭𝐨 - 𝐚���𝐝 - رسول | 386 | 44_postdoctoral_και_𝐭𝐨_𝐚𝐧𝐝 | 
+| 45 | platinum - excluded - cards - credit - secured | 357 | 45_platinum_excluded_cards_credit | 
+| 46 | solving - ai - data - methods - learning | 127 | 46_solving_ai_data_methods | 
+| 47 | dm - sent - haven - gotten - dms | 219 | 47_dm_sent_haven_gotten | 
+| 48 | nice - cool - good - cute - dimples | 289 | 48_nice_cool_good_cute | 
+| 49 | cafés - branches - offices - closed - holiday | 206 | 49_cafés_branches_offices_closed | 
+| 50 | gt - page - javier - facebook - sergio | 130 | 50_gt_page_javier_facebook | 
+| 51 | fault - mailbox - buyer - flood - vendors | 191 | 51_fault_mailbox_buyer_flood | 
+| 52 | responsibility - expect - accept - unethical - perjury | 89 | 52_responsibility_expect_accept_unethical | 
+| 53 | holiday - encore - noël - livestream - songs | 88 | 53_holiday_encore_noël_livestream | 
+| 54 | bio - webinar - mcws - capitalonecafe - wcwsselfie | 44 | 54_bio_webinar_mcws_capitalonecafe | 
+| 55 | agree - true - haha - ha - right | 565 | 55_agree_true_haha_ha | 
+| 56 | word - code - shib - enter - biiiish | 324 | 56_word_code_shib_enter | 
+| 57 | uber - eats - complimentary - orders - nov | 113 | 57_uber_eats_complimentary_orders | 
+| 58 | bbb - tracker - scams - scam - scamtracker | 46 | 58_bbb_tracker_scams_scam | 
+| 59 | count - days - fucking - bitch - fuckin | 85 | 59_count_days_fucking_bitch | 
+| 60 | tradelines - cpn - repair - removal - inquiries | 89 | 60_tradelines_cpn_repair_removal | 
+| 61 | gas - prices - inflation - cars - electric | 102 | 61_gas_prices_inflation_cars | 
+| 62 | spark - antonelli - preset - cash - cheese | 159 | 62_spark_antonelli_preset_cash | 
+| 63 | waiting - room - queue - open - lounge | 57 | 63_waiting_room_queue_open | 
+| 64 | need - want - got - officce - wish | 455 | 64_need_want_got_officce | 
+| 65 | taher - bapary - abu - wow - baah | 371 | 65_taher_bapary_abu_wow | 
+| 66 | atos - story - cloud - datacenter - upl | 46 | 66_atos_story_cloud_datacenter | 
+| 67 | song - itunes - radio - rainy - bts | 77 | 67_song_itunes_radio_rainy | 
+| 68 | dining - cardholders - reservations - restaurants - rated | 163 | 68_dining_cardholders_reservations_restaurants | 
+| 69 | grant - apply - upfront - federal - government | 69 | 69_grant_apply_upfront_federal | 
+| 70 | scarf - tsgiveaway - towel - tote - bag | 103 | 70_scarf_tsgiveaway_towel_tote | 
+| 71 | annual - fee - fees - loffland - tam | 53 | 71_annual_fee_fees_loffland | 
+| 72 | unsubcribe - mailing - stop - remove - list | 204 | 72_unsubcribe_mailing_stop_remove | 
+| 73 | crooks - money - scumbags - stole - thieves | 106 | 73_crooks_money_scumbags_stole | 
+| 74 | mcws - rebs - omaha - wps - toddy | 633 | 74_mcws_rebs_omaha_wps | 
+| 75 | bejeweled - ok - hi - mm - tay | 105 | 75_bejeweled_ok_hi_mm | 
+| 76 | pov - misclicked - clicked - clicky - pa | 719 | 76_pov_misclicked_clicked_clicky | 
+| 77 | financial - tips - budget - empowerment - healthy | 174 | 77_financial_tips_budget_empowerment | 
+| 78 | wynn - match - brady - hole - las | 379 | 78_wynn_match_brady_hole | 
+| 79 | upgrade - upgrades - upgraded - update - seats | 70 | 79_upgrade_upgrades_upgraded_update | 
+| 80 | step - tapn - wit - walking - method | 142 | 80_step_tapn_wit_walking | 
+| 81 | facilitate - form - cybersuppospy - communicate - following | 120 | 81_facilitate_form_cybersuppospy_communicate | 
+| 82 | debt - credit - need - card - dm | 46 | 82_debt_credit_need_card | 
+| 83 | press - interactive - seat - conference - hot | 375 | 83_press_interactive_seat_conference | 
+| 84 | minority - jackie - scholarship - nation - donating | 31 | 84_minority_jackie_scholarship_nation | 
+| 85 | chefs - chef - exclusive - dining - cardholders | 39 | 85_chefs_chef_exclusive_dining | 
+| 86 | flannel - cardigan - scarf - jk - code | 30 | 86_flannel_cardigan_scarf_jk | 
+| 87 | sell - sold - sellout - selling - tim | 91 | 87_sell_sold_sellout_selling | 
+| 88 | movie - saw - watch - watching - video | 90 | 88_movie_saw_watch_watching | 
+| 89 | denied - approved - applied - pre - tried | 411 | 89_denied_approved_applied_pre | 
+| 90 | balali - dizabali - manager - blame - changing | 188 | 90_balali_dizabali_manager_blame | 
+| 91 | office - direct - contact - don - erica | 24 | 91_office_direct_contact_don | 
+| 92 | stimulus - latest - mon - dates - track | 60 | 92_stimulus_latest_mon_dates | 
+| 93 | itbot - cash - gyvi - creditcard - best | 23 | 93_itbot_cash_gyvi_creditcard | 
+| 94 | pakistan - donate - relief - flood - activities | 199 | 94_pakistan_donate_relief_flood | 
+| 95 | lottery - winner - jackpot - fan - million | 27 | 95_lottery_winner_jackpot_fan | 
+| 96 | payments - sending - email - payment - suppo | 77 | 96_payments_sending_email_payment | 
+| 97 | cardholders - star - mlb - ultimate - allstarweek | 127 | 97_cardholders_star_mlb_ultimate | 
+| 98 | reds - disparage - toss - stats - count | 57 | 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
+* zeroshot_min_similarity: 0.7
+* zeroshot_topic_list: None
+
+## 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

config.json

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+{
+  "calculate_probabilities": false,
+  "language": null,
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": 100,
+  "seed_topic_list": null,
+  "top_n_words": 10,
+  "verbose": true,
+  "zeroshot_min_similarity": 0.7,
+  "zeroshot_topic_list": null,
+  "embedding_model": "BAAI/bge-small-en-v1.5"
+}

ctfidf.safetensors

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+oid sha256:a858f6d0330b876d25655865253b3fba81a65aa5884dbd22fa8a6263256498ec
+size 3265040

topic_embeddings.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ae1344ab9fe9bf1c0601f8d35ca56a12476bbc18704810861638a5886467cf90
+size 153688