Add BERTopic model

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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 - 𝐚𝐧𝐝 - 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


	---
	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 - 𝐚𝐧𝐝 - 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