Add BERTopic model

4dd3b94 over 1 year ago

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

	# label_model_merged

	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("davanstrien/label_model_merged")

	topic_model.get_topic_info()
	```

	## Topic overview

	* Number of topics: 247
	* Number of training documents: 14986

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

	\| Topic ID \| Topic Keywords \| Topic Frequency \| Label \|
	\|----------\|----------------\|-----------------\|-------\|
	\| -1 \| pre - roll - heavy - farm - health \| 5 \| -1_pre_roll_heavy_farm \|
	\| 0 \| label_1 label_2 - label_0 label_1 label_2 - label_1 - label_0 label_1 - label_2 \| 1386 \| 0_label_1 label_2_label_0 label_1 label_2_label_1_label_0 label_1 \|
	\| 1 \| label_1 label_2 label_3 - label_3 label_4 label_5 - label_4 label_5 - label_2 label_3 label_4 - label_5 \| 1042 \| 1_label_1 label_2 label_3_label_3 label_4 label_5_label_4 label_5_label_2 label_3 label_4 \|
	\| 2 \| negative positive - positive negative - negative - positive - target \| 803 \| 2_negative positive_positive negative_negative_positive \|
	\| 3 \| loc misc org - misc org - loc misc - misc - org loc \| 652 \| 3_loc misc org_misc org_loc misc_misc \|
	\| 4 \| neutral positive - neutral - positive negative - negative - positive \| 509 \| 4_neutral positive_neutral_positive negative_negative \|
	\| 5 \| label_0 - country - city - label_1 - label_0 label_1 \| 357 \| 5_label_0_country_city_label_1 \|
	\| 6 \| contradiction - entailment - neutral - - \| 351 \| 6_contradiction_entailment_neutral_ \|
	\| 7 \| label_0 - positive - - - \| 335 \| 7_label_0_positive__ \|
	\| 8 \| 99 - - - - \| 327 \| 8_99___ \|
	\| 9 \| label_1 label_2 label_3 - label_2 label_3 label_4 - label_3 label_4 - label_2 label_3 - label_4 \| 302 \| 9_label_1 label_2 label_3_label_2 label_3 label_4_label_3 label_4_label_2 label_3 \|
	\| 10 \| entailment - true - child - related - non \| 257 \| 10_entailment_true_child_related \|
	\| 11 \| terrier - snake - dog - bear - wolf \| 245 \| 11_terrier_snake_dog_bear \|
	\| 12 \| loc misc org - loc misc - misc org - misc - org loc \| 240 \| 12_loc misc org_loc misc_misc org_misc \|
	\| 13 \| label_5 label_6 label_7 - label_6 label_7 - label_4 label_5 label_6 - label_5 label_6 - label_7 \| 231 \| 13_label_5 label_6 label_7_label_6 label_7_label_4 label_5 label_6_label_5 label_6 \|
	\| 14 \| calendar - greeting - weather - transfer - calculator \| 229 \| 14_calendar_greeting_weather_transfer \|
	\| 15 \| label_1 label_2 label_3 - label_2 label_3 - label_3 - label_1 label_2 - label_0 label_1 label_2 \| 226 \| 15_label_1 label_2 label_3_label_2 label_3_label_3_label_1 label_2 \|
	\| 16 \| delete - unrelated - bad - related - rel \| 207 \| 16_delete_unrelated_bad_related \|
	\| 17 \| label_12 label_13 label_14 - label_11 label_12 label_13 - label_13 label_14 - label_12 label_13 - label_10 label_11 label_12 \| 172 \| 17_label_12 label_13 label_14_label_11 label_12 label_13_label_13 label_14_label_12 label_13 \|
	\| 18 \| loc org - org loc - org - loc - loc loc \| 166 \| 18_loc org_org loc_org_loc \|
	\| 19 \| left - right - stop - yes - zero \| 130 \| 19_left_right_stop_yes \|
	\| 20 \| label_6 label_60 label_61 - label_60 label_61 - label_60 label_61 label_62 - label_62 label_63 - label_59 label_6 label_60 \| 123 \| 20_label_6 label_60 label_61_label_60 label_61_label_60 label_61 label_62_label_62 label_63 \|
	\| 21 \| unrelated - - - - \| 117 \| 21_unrelated___ \|
	\| 22 \| forest - industrial - river - transport - disaster \| 110 \| 22_forest_industrial_river_transport \|
	\| 23 \| label_4 label_5 label_6 - label_5 label_6 - label_6 - label_1 label_2 label_3 - label_3 label_4 label_5 \| 107 \| 23_label_4 label_5 label_6_label_5 label_6_label_6_label_1 label_2 label_3 \|
	\| 24 \| question - quantity - - - \| 106 \| 24_question_quantity__ \|
	\| 25 \| healthy - leaf - rust - plant - mildew \| 103 \| 25_healthy_leaf_rust_plant \|
	\| 26 \| disease - blood - bio - healthy - sexual \| 100 \| 26_disease_blood_bio_healthy \|
	\| 27 \| work - group - corporation - person product - product \| 92 \| 27_work_group_corporation_person product \|
	\| 28 \| surprise anger - sadness surprise - fear joy - anger fear - joy love \| 80 \| 28_surprise anger_sadness surprise_fear joy_anger fear \|
	\| 29 \| duplicate - common - non - - \| 78 \| 29_duplicate_common_non_ \|
	\| 30 \| steak - hamburger - restaurant - pizza - joint \| 76 \| 30_steak_hamburger_restaurant_pizza \|
	\| 31 \| room - service - transport - product - forest \| 74 \| 31_room_service_transport_product \|
	\| 32 \| dis - - - - \| 74 \| 32_dis___ \|
	\| 33 \| - - - - \| 73 \| 33____ \|
	\| 34 \| loc org - org - date - loc - set \| 70 \| 34_loc org_org_date_loc \|
	\| 35 \| label_17 label_18 label_19 - label_18 label_19 - label_18 label_19 label_2 - label_19 label_2 - label_16 label_17 label_18 \| 70 \| 35_label_17 label_18 label_19_label_18 label_19_label_18 label_19 label_2_label_19 label_2 \|
	\| 36 \| 03 - 02 - second - - \| 65 \| 36_03_02_second_ \|
	\| 37 \| anger fear - joy love - surprise - joy - love \| 65 \| 37_anger fear_joy love_surprise_joy \|
	\| 38 \| real - true - image - news - \| 64 \| 38_real_true_image_news \|
	\| 39 \| - - - - \| 63 \| 39____ \|
	\| 40 \| pos - neg - neu - - \| 62 \| 40_pos_neg_neu_ \|
	\| 41 \| 45 - 30 - 55 - 35 - 10 \| 61 \| 41_45_30_55_35 \|
	\| 42 \| ge - wifi - na - alpha - fan \| 61 \| 42_ge_wifi_na_alpha \|
	\| 43 \| label_1 label_10 label_11 - label_10 label_11 - label_8 label_9 label_0 - label_9 label_0 label_1 - label_9 label_0 \| 61 \| 43_label_1 label_10 label_11_label_10 label_11_label_8 label_9 label_0_label_9 label_0 label_1 \|
	\| 44 \| event - group - corporation - person product - product \| 61 \| 44_event_group_corporation_person product \|
	\| 45 \| label_19 label_2 label_20 - label_2 label_20 - label_20 - label_18 label_19 label_2 - label_18 label_19 \| 60 \| 45_label_19 label_2 label_20_label_2 label_20_label_20_label_18 label_19 label_2 \|
	\| 46 \| fear happy - sad - happy - disgust fear - angry \| 58 \| 46_fear happy_sad_happy_disgust fear \|
	\| 47 \| battery - volume - chinese - juice - socks \| 58 \| 47_battery_volume_chinese_juice \|
	\| 48 \| prep - nn - bio - cc - pro \| 56 \| 48_prep_nn_bio_cc \|
	\| 49 \| good - poor - ok - great - bad \| 56 \| 49_good_poor_ok_great \|
	\| 50 \| date - city - fur - day - ar \| 54 \| 50_date_city_fur_day \|
	\| 51 \| 15 - 18 19 20 - 19 20 - 17 18 19 - 18 19 \| 54 \| 51_15_18 19 20_19 20_17 18 19 \|
	\| 52 \| menu - price - num - - \| 52 \| 52_menu_price_num_ \|
	\| 53 \| common - fat - loose - small - sugar \| 52 \| 53_common_fat_loose_small \|
	\| 54 \| append_ - replace_ - append_ append_ - replace_ replace_ - append_ append_ append_ \| 49 \| 54_append__replace__append_ append__replace_ replace_ \|
	\| 55 \| append_ - replace_ - append_ append_ - replace_ replace_ - append_ append_ append_ \| 48 \| 55_append__replace__append_ append__replace_ replace_ \|
	\| 56 \| animals - flying - tech - dance - tiger \| 48 \| 56_animals_flying_tech_dance \|
	\| 57 \| self - question - neutral - yes - greeting \| 47 \| 57_self_question_neutral_yes \|
	\| 58 \| mt - cv - tr - tm - drug \| 47 \| 58_mt_cv_tr_tm \|
	\| 59 \| organization person - location organization - organization - location - person \| 46 \| 59_organization person_location organization_organization_location \|
	\| 60 \| - - - - \| 45 \| 60____ \|
	\| 61 \| joy - anger - sadness - sad - happy \| 44 \| 61_joy_anger_sadness_sad \|
	\| 62 \| daisy - tulip - rose - - \| 43 \| 62_daisy_tulip_rose_ \|
	\| 63 \| positive - negative - neutral - neutral positive - positive negative \| 42 \| 63_positive_negative_neutral_neutral positive \|
	\| 64 \| windows - pm - 21 - office - 20 \| 42 \| 64_windows_pm_21_office \|
	\| 65 \| label_14 label_15 - label_13 label_14 label_15 - label_15 - label_12 label_13 label_14 - label_11 label_12 label_13 \| 42 \| 65_label_14 label_15_label_13 label_14 label_15_label_15_label_12 label_13 label_14 \|
	\| 66 \| position - statement - lead - request - study \| 42 \| 66_position_statement_lead_request \|
	\| 67 \| business - news - entertainment - tech - sport \| 41 \| 67_business_news_entertainment_tech \|
	\| 68 \| hate - speech - language - reporting - non \| 41 \| 68_hate_speech_language_reporting \|
	\| 69 \| bd - nan - id - bg - \| 41 \| 69_bd_nan_id_bg \|
	\| 70 \| cream - burger - carrot - ice cream - salad \| 41 \| 70_cream_burger_carrot_ice cream \|
	\| 71 \| human - machine - ai - artificial - art \| 40 \| 71_human_machine_ai_artificial \|
	\| 72 \| open - high - tie - abstract - button \| 40 \| 72_open_high_tie_abstract \|
	\| 73 \| label_23 label_24 label_25 - label_24 label_25 - label_22 label_23 label_24 - label_23 label_24 - label_21 label_22 label_23 \| 40 \| 73_label_23 label_24 label_25_label_24 label_25_label_22 label_23 label_24_label_23 label_24 \|
	\| 74 \| label_8 label_9 label_0 - label_9 label_0 label_1 - label_9 label_0 - label_7 label_8 label_9 - label_8 label_9 \| 39 \| 74_label_8 label_9 label_0_label_9 label_0 label_1_label_9 label_0_label_7 label_8 label_9 \|
	\| 75 \| cat - dog - cats - dogs - drinking \| 39 \| 75_cat_dog_cats_dogs \|
	\| 76 \| org org - loc loc - org - misc - loc \| 38 \| 76_org org_loc loc_org_misc \|
	\| 77 \| airplane - deer - bird - ship - frog \| 38 \| 77_airplane_deer_bird_ship \|
	\| 78 \| label_32 label_33 label_34 - label_33 label_34 - label_31 label_32 label_33 - label_32 label_33 - label_30 label_31 label_32 \| 38 \| 78_label_32 label_33 label_34_label_33 label_34_label_31 label_32 label_33_label_32 label_33 \|
	\| 79 \| true - - - - \| 38 \| 79_true___ \|
	\| 80 \| family - sports - music - related - health \| 38 \| 80_family_sports_music_related \|
	\| 81 \| star - positive - negative - amazon - negative positive \| 37 \| 81_star_positive_negative_amazon \|
	\| 82 \| hospital - unknown - description - material - pad \| 37 \| 82_hospital_unknown_description_material \|
	\| 83 \| threat - hate - reward - quality - content \| 36 \| 83_threat_hate_reward_quality \|
	\| 84 \| music - speech - instrument - engine - wind \| 35 \| 84_music_speech_instrument_engine \|
	\| 85 \| closure - annual - statement - issues - reward \| 35 \| 85_closure_annual_statement_issues \|
	\| 86 \| adp - aux - sconj - pron - noun \| 35 \| 86_adp_aux_sconj_pron \|
	\| 87 \| experience - location - skill - address - result \| 35 \| 87_experience_location_skill_address \|
	\| 88 \| - - - - \| 34 \| 88____ \|
	\| 89 \| test - train - risk - non - high \| 34 \| 89_test_train_risk_non \|
	\| 90 \| samoyed - corgi - husky - golden retriever - golden \| 34 \| 90_samoyed_corgi_husky_golden retriever \|
	\| 91 \| unk - zero - 10 - 12 13 14 - 13 14 15 \| 33 \| 91_unk_zero_10_12 13 14 \|
	\| 92 \| non - neutral - ok - lead - \| 33 \| 92_non_neutral_ok_lead \|
	\| 93 \| normal - covid - virus - regular - disorder \| 33 \| 93_normal_covid_virus_regular \|
	\| 94 \| test - help - app - risk - joke \| 32 \| 94_test_help_app_risk \|
	\| 95 \| replace_ - append_ - replace_ replace_ - append_ append_ - replace_ replace_ replace_ \| 32 \| 95_replace__append__replace_ replace__append_ append_ \|
	\| 96 \| disease - issues - pressure - drug - blood \| 31 \| 96_disease_issues_pressure_drug \|
	\| 97 \| women - casual - sexual - individual - use \| 31 \| 97_women_casual_sexual_individual \|
	\| 98 \| address - balance - code - second - currency \| 30 \| 98_address_balance_code_second \|
	\| 99 \| hate - non - neutral - - \| 30 \| 99_hate_non_neutral_ \|
	\| 100 \| normal - cell - large - clean - healthy \| 29 \| 100_normal_cell_large_clean \|
	\| 101 \| neutral - se - - - \| 29 \| 101_neutral_se__ \|
	\| 102 \| male - female - hair - skin - men \| 29 \| 102_male_female_hair_skin \|
	\| 103 \| title - page - section - abstract - table \| 28 \| 103_title_page_section_abstract \|
	\| 104 \| number - gender - case - person - fin \| 28 \| 104_number_gender_case_person \|
	\| 105 \| man - bird - flower - long - double \| 28 \| 105_man_bird_flower_long \|
	\| 106 \| contradiction - entailment - neutral - - \| 28 \| 106_contradiction_entailment_neutral_ \|
	\| 107 \| non - - - - \| 27 \| 107_non___ \|
	\| 108 \| tim - fac - org - pro - loc \| 27 \| 108_tim_fac_org_pro \|
	\| 109 \| lincoln - jaguar - visual - audio - sony \| 27 \| 109_lincoln_jaguar_visual_audio \|
	\| 110 \| statement - info - check - ad - news \| 27 \| 110_statement_info_check_ad \|
	\| 111 \| ben - ext - root - exp - loc \| 26 \| 111_ben_ext_root_exp \|
	\| 112 \| yes - - - - \| 26 \| 112_yes___ \|
	\| 113 \| queen - jack - king - south - war \| 26 \| 113_queen_jack_king_south \|
	\| 114 \| - - - - \| 26 \| 114____ \|
	\| 115 \| ft - cardinal - act - loc - loc loc \| 25 \| 115_ft_cardinal_act_loc \|
	\| 116 \| bio - chemical - food - - \| 25 \| 116_bio_chemical_food_ \|
	\| 117 \| ft - cardinal - act - loc - loc misc org \| 25 \| 117_ft_cardinal_act_loc \|
	\| 118 \| metric - task - - - \| 25 \| 118_metric_task__ \|
	\| 119 \| email - age - patient - zip - organization \| 25 \| 119_email_age_patient_zip \|
	\| 120 \| ent - im - ru - mat - art \| 25 \| 120_ent_im_ru_mat \|
	\| 121 \| ex - pt - galaxy - moon - 8888 \| 24 \| 121_ex_pt_galaxy_moon \|
	\| 122 \| - - - - \| 24 \| 122____ \|
	\| 123 \| neu - sad - dis - joy - \| 24 \| 123_neu_sad_dis_joy \|
	\| 124 \| label_122 - label_121 - label_120 - label_123 - label_119 \| 24 \| 124_label_122_label_121_label_120_label_123 \|
	\| 125 \| mixed - positive - negative - neutral positive - neutral \| 24 \| 125_mixed_positive_negative_neutral positive \|
	\| 126 \| date event - percent person - quantity - money - percent \| 24 \| 126_date event_percent person_quantity_money \|
	\| 127 \| fear joy - sadness surprise - surprise - joy - sadness \| 24 \| 127_fear joy_sadness surprise_surprise_joy \|
	\| 128 \| disgust - sadness surprise - joy love - surprise - joy \| 24 \| 128_disgust_sadness surprise_joy love_surprise \|
	\| 129 \| magnet - motor - hello - undefined - start \| 24 \| 129_magnet_motor_hello_undefined \|
	\| 130 \| loc loc - loc - pers - hi - en \| 24 \| 130_loc loc_loc_pers_hi \|
	\| 131 \| event - pers - fac - pro - loc org \| 24 \| 131_event_pers_fac_pro \|
	\| 132 \| disorder - body - patient - age - disease \| 23 \| 132_disorder_body_patient_age \|
	\| 133 \| happiness - fear - anger disgust - disgust - sadness \| 23 \| 133_happiness_fear_anger disgust_disgust \|
	\| 134 \| control - la - social - sin - civil \| 23 \| 134_control_la_social_sin \|
	\| 135 \| label_98 label_99 - label_97 label_98 label_99 - label_97 label_98 - label_95 label_96 - label_96 label_97 label_98 \| 23 \| 135_label_98 label_99_label_97 label_98 label_99_label_97 label_98_label_95 label_96 \|
	\| 136 \| greek - chinese - italian - japanese - dutch \| 23 \| 136_greek_chinese_italian_japanese \|
	\| 137 \| clean - - - - \| 23 \| 137_clean___ \|
	\| 138 \| protein - chemical - cell - - \| 22 \| 138_protein_chemical_cell_ \|
	\| 139 \| treatment - disease - location organization - organization person - organization \| 22 \| 139_treatment_disease_location organization_organization person \|
	\| 140 \| institution - tools - org - loc - organization \| 22 \| 140_institution_tools_org_loc \|
	\| 141 \| statement - question - - - \| 22 \| 141_statement_question__ \|
	\| 142 \| period - question - noun - number - \| 21 \| 142_period_question_noun_number \|
	\| 143 \| regular - - - - \| 21 \| 143_regular___ \|
	\| 144 \| rna - - - - \| 21 \| 144_rna___ \|
	\| 145 \| rs - - - - \| 21 \| 145_rs___ \|
	\| 146 \| address - id - job - email - country \| 21 \| 146_address_id_job_email \|
	\| 147 \| neg - neu - good - - \| 21 \| 147_neg_neu_good_ \|
	\| 148 \| label_122 label_123 - label_123 - label_122 - label_121 - label_120 \| 20 \| 148_label_122 label_123_label_123_label_122_label_121 \|
	\| 149 \| drink - tea - wine - coffee - soft \| 20 \| 149_drink_tea_wine_coffee \|
	\| 150 \| miscellaneous - organization - percent - money - percent person \| 20 \| 150_miscellaneous_organization_percent_money \|
	\| 151 \| description - invoice - zip - state - city \| 20 \| 151_description_invoice_zip_state \|
	\| 152 \| sports - tech - business - sport - \| 20 \| 152_sports_tech_business_sport \|
	\| 153 \| ok - vin - rl - ft - year \| 20 \| 153_ok_vin_rl_ft \|
	\| 154 \| healthy - - - - \| 20 \| 154_healthy___ \|
	\| 155 \| association - event - ticket - disaster - map \| 20 \| 155_association_event_ticket_disaster \|
	\| 156 \| 10 11 - 10 11 12 - 11 12 - 11 - 11 12 13 \| 19 \| 156_10 11_10 11 12_11 12_11 \|
	\| 157 \| noun num pron - num pron propn - num pron - pron propn punct - pron propn \| 19 \| 157_noun num pron_num pron propn_num pron_pron propn punct \|
	\| 158 \| cell - organ - organism - multi - tissue \| 18 \| 158_cell_organ_organism_multi \|
	\| 159 \| 02 - ent - express - act - delete \| 18 \| 159_02_ent_express_act \|
	\| 160 \| sym verb adj - verb adj adp - intj noun num - det intj noun - adj adp adv \| 18 \| 160_sym verb adj_verb adj adp_intj noun num_det intj noun \|
	\| 161 \| 12 - - - - \| 18 \| 161_12___ \|
	\| 162 \| org org - org - drug - - \| 18 \| 162_org org_org_drug_ \|
	\| 163 \| short - long - sl - ac - pad \| 18 \| 163_short_long_sl_ac \|
	\| 164 \| plastic - paper - glass - metal - sheet \| 18 \| 164_plastic_paper_glass_metal \|
	\| 165 \| ii - blank - iii - vi - et \| 17 \| 165_ii_blank_iii_vi \|
	\| 166 \| normal - virus - desert - smoke - pressure \| 17 \| 166_normal_virus_desert_smoke \|
	\| 167 \| skill - skills - - - \| 17 \| 167_skill_skills__ \|
	\| 168 \| protein - rna - cell - line - type \| 17 \| 168_protein_rna_cell_line \|
	\| 169 \| korean - russian - dutch - french - thai \| 17 \| 169_korean_russian_dutch_french \|
	\| 170 \| rainbow - rain - snow - color - green \| 17 \| 170_rainbow_rain_snow_color \|
	\| 171 \| company - role - institution - skill - loc org \| 16 \| 171_company_role_institution_skill \|
	\| 172 \| exp - pp - intj - punc - prep \| 16 \| 172_exp_pp_intj_punc \|
	\| 173 \| key - menu - - - \| 16 \| 173_key_menu__ \|
	\| 174 \| adult - young - child - male - female \| 16 \| 174_adult_young_child_male \|
	\| 175 \| normal - - - - \| 16 \| 175_normal___ \|
	\| 176 \| mask - bright - sharp - head - normal \| 16 \| 176_mask_bright_sharp_head \|
	\| 177 \| anger disgust fear - anger disgust - disgust fear - disgust - surprise anger \| 16 \| 177_anger disgust fear_anger disgust_disgust fear_disgust \|
	\| 178 \| - - - - \| 16 \| 178____ \|
	\| 179 \| objective - non - neutral - - \| 16 \| 179_objective_non_neutral_ \|
	\| 180 \| cr - sd - db - - \| 16 \| 180_cr_sd_db_ \|
	\| 181 \| - - - - \| 16 \| 181____ \|
	\| 182 \| label_29 label_3 label_30 - label_27 label_28 label_29 - label_26 label_27 label_28 - label_28 label_29 label_3 - label_29 label_3 \| 16 \| 182_label_29 label_3 label_30_label_27 label_28 label_29_label_26 label_27 label_28_label_28 label_29 label_3 \|
	\| 183 \| test - - - - \| 15 \| 183_test___ \|
	\| 184 \| good - bad - non - - \| 15 \| 184_good_bad_non_ \|
	\| 185 \| local - por - art - da - em \| 15 \| 185_local_por_art_da \|
	\| 186 \| label_122 label_123 - label_97 label_98 label_99 - label_97 label_98 - label_96 label_97 label_98 - label_98 label_99 \| 15 \| 186_label_122 label_123_label_97 label_98 label_99_label_97 label_98_label_96 label_97 label_98 \|
	\| 187 \| prod - loc - evt - misc - org org \| 15 \| 187_prod_loc_evt_misc \|
	\| 188 \| invoice - email - form - letter - report \| 15 \| 188_invoice_email_form_letter \|
	\| 189 \| end - head - cross - - \| 15 \| 189_end_head_cross_ \|
	\| 190 \| target - instrument - opinion - question - price \| 15 \| 190_target_instrument_opinion_question \|
	\| 191 \| unrelated - support - - - \| 15 \| 191_unrelated_support__ \|
	\| 192 \| ru - pl - bg - en - es \| 14 \| 192_ru_pl_bg_en \|
	\| 193 \| road - good - bike - - \| 14 \| 193_road_good_bike_ \|
	\| 194 \| human - organism - plants - - \| 14 \| 194_human_organism_plants_ \|
	\| 195 \| label_7 label_8 label_9 - label_8 label_9 - label_0 label_1 label_10 - label_1 label_10 - label_10 \| 14 \| 195_label_7 label_8 label_9_label_8 label_9_label_0 label_1 label_10_label_1 label_10 \|
	\| 196 \| replace_ - append_ - replace_ replace_ - append_ append_ - replace_ replace_ replace_ \| 13 \| 196_replace__append__replace_ replace__append_ append_ \|
	\| 197 \| brand - company - tm - color - item \| 13 \| 197_brand_company_tm_color \|
	\| 198 \| pro - neutral - russian - support - attack \| 13 \| 198_pro_neutral_russian_support \|
	\| 199 \| 18 19 20 - 19 20 - 23 - 17 18 19 - 21 \| 13 \| 199_18 19 20_19 20_23_17 18 19 \|
	\| 200 \| crime - pers - time - book - day \| 13 \| 200_crime_pers_time_book \|
	\| 201 \| neutral - positive - negative - positive negative - neutral positive \| 13 \| 201_neutral_positive_negative_positive negative \|
	\| 202 \| - - - - \| 13 \| 202____ \|
	\| 203 \| chemical - disease - bio - - \| 13 \| 203_chemical_disease_bio_ \|
	\| 204 \| angry - happy - sad - neutral - 60 \| 12 \| 204_angry_happy_sad_neutral \|
	\| 205 \| organisation - task - country - location - product \| 12 \| 205_organisation_task_country_location \|
	\| 206 \| iv - iii - vi - ii - unknown \| 12 \| 206_iv_iii_vi_ii \|
	\| 207 \| neutral - risk - - - \| 12 \| 207_neutral_risk__ \|
	\| 208 \| container - id - type - person - number \| 12 \| 208_container_id_type_person \|
	\| 209 \| target - - - - \| 12 \| 209_target___ \|
	\| 210 \| pop - metal - country - song - rock \| 12 \| 210_pop_metal_country_song \|
	\| 211 \| email - os - language - method - function \| 12 \| 211_email_os_language_method \|
	\| 212 \| contradiction - non - entailment - - \| 12 \| 212_contradiction_non_entailment_ \|
	\| 213 \| background - objective - method - result - \| 12 \| 213_background_objective_method_result \|
	\| 214 \| convertible - cab - type - series - martin \| 12 \| 214_convertible_cab_type_series \|
	\| 215 \| public - smoking - drinking - ambiguous - non \| 12 \| 215_public_smoking_drinking_ambiguous \|
	\| 216 \| rust - - - - \| 12 \| 216_rust___ \|
	\| 217 \| persian - mr - man - flying - ghost \| 12 \| 217_persian_mr_man_flying \|
	\| 218 \| quote - yes - middle - request - \| 12 \| 218_quote_yes_middle_request \|
	\| 219 \| text - mixed - - - \| 12 \| 219_text_mixed__ \|
	\| 220 \| punc - prep - digit - latin - conj \| 12 \| 220_punc_prep_digit_latin \|
	\| 221 \| panda - air - mr - ticket - little \| 12 \| 221_panda_air_mr_ticket \|
	\| 222 \| - - - - \| 12 \| 222____ \|
	\| 223 \| sym verb adj - intj noun num - verb adj adp - cconj det intj - aux cconj det \| 12 \| 223_sym verb adj_intj noun num_verb adj adp_cconj det intj \|
	\| 224 \| healthy - tomato - plant - pepper - spot \| 11 \| 224_healthy_tomato_plant_pepper \|
	\| 225 \| sony - lg - tv - galaxy - monitor \| 11 \| 225_sony_lg_tv_galaxy \|
	\| 226 \| new - city - mid - location - south \| 11 \| 226_new_city_mid_location \|
	\| 227 \| space - - - - \| 11 \| 227_space___ \|
	\| 228 \| cloud - racing - motorcycle - boy - bus \| 11 \| 228_cloud_racing_motorcycle_boy \|
	\| 229 \| punc - zero - pers - neg - reflex \| 11 \| 229_punc_zero_pers_neg \|
	\| 230 \| energy - arts - high - systems - computer \| 11 \| 230_energy_arts_high_systems \|
	\| 231 \| dis - ad - media - site - plant \| 11 \| 231_dis_ad_media_site \|
	\| 232 \| world - tech - business - sports - female \| 11 \| 232_world_tech_business_sports \|
	\| 233 \| sadness - anger - anger fear - joy - fear \| 10 \| 233_sadness_anger_anger fear_joy \|
	\| 234 \| neg - adj - sym - propn - num \| 10 \| 234_neg_adj_sym_propn \|
	\| 235 \| bulldog - cat - husky - pug - corgi \| 9 \| 235_bulldog_cat_husky_pug \|
	\| 236 \| - - - - \| 8 \| 236____ \|
	\| 237 \| origin - quote - actor - opinion - language \| 7 \| 237_origin_quote_actor_opinion \|
	\| 238 \| na - nb - nc - neu - ng \| 7 \| 238_na_nb_nc_neu \|
	\| 239 \| - - - - \| 7 \| 239____ \|
	\| 240 \| ci - aa - joy - im - ip \| 7 \| 240_ci_aa_joy_im \|
	\| 241 \| - - - - \| 6 \| 241____ \|
	\| 242 \| skill - email - address - grade - language \| 6 \| 242_skill_email_address_grade \|
	\| 243 \| sexual - threat - christian - hate - male \| 6 \| 243_sexual_threat_christian_hate \|
	\| 244 \| transmission - wind - tower - pole - \| 6 \| 244_transmission_wind_tower_pole \|
	\| 245 \| label_14 label_15 - label_13 label_14 label_15 - label_15 - label_12 label_13 label_14 - label_11 label_12 label_13 \| 6 \| 245_label_14 label_15_label_13 label_14 label_15_label_15_label_12 label_13 label_14 \|

	</details>

	## Training hyperparameters

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

	## Framework versions

	* Numpy: 1.22.4
	* HDBSCAN: 0.8.29
	* UMAP: 0.5.3
	* Pandas: 1.5.3
	* Scikit-Learn: 1.2.2
	* Sentence-transformers: 2.2.2
	* Transformers: 4.29.2
	* Numba: 0.56.4
	* Plotly: 5.13.1
	* Python: 3.10.11