label_model

This is a 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:

from bertopic import BERTopic
topic_model = BERTopic.load("davanstrien/label_model")

topic_model.get_topic_info()

Topic overview

• Number of topics: 252
• Number of training documents: 14986

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	date - city - pre - heavy - fur	5	-1_date_city_pre_heavy
0	label_1 label_2 - label_0 label_1 label_2 - label_0 label_1 - label_1 - label_2	1333	0_label_1 label_2_label_0 label_1 label_2_label_0 label_1_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	1043	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 - loc misc - misc org - misc - org loc	651	3_loc misc org_loc misc_misc org_misc
4	neutral positive - neutral - positive negative - negative - positive	479	4_neutral positive_neutral_positive negative_negative
5	label_0 - - - -	357	5_label_0___
6	contradiction - entailment - neutral - ambiguous -	348	6_contradiction_entailment_neutral_ambiguous
7	label_0 - - - -	334	7_label_0___
8	99 - - - -	326	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	300	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	snake - dog - bear - wolf - sea	245	11_snake_dog_bear_wolf
12	label_5 label_6 label_7 - label_6 label_7 - label_4 label_5 label_6 - label_5 label_6 - label_6 label_7 label_8	241	12_label_5 label_6 label_7_label_6 label_7_label_4 label_5 label_6_label_5 label_6
13	loc misc org - loc misc - misc org - misc - org loc	229	13_loc misc org_loc misc_misc org_misc
14	weather - transfer - alarm - text - time	228	14_weather_transfer_alarm_text
15	label_1 label_2 label_3 - label_2 label_3 - label_3 - label_1 label_2 - label_0 label_1 label_2	222	15_label_1 label_2 label_3_label_2 label_3_label_3_label_1 label_2
16	delete - different - bad - related - rel	207	16_delete_different_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	- - - -	166	18____
19	loc org loc - loc org - org loc - org - loc	142	19_loc org loc_loc org_org loc_org
20	label_6 label_60 label_61 - label_60 label_61 - label_62 label_63 - label_61 label_62 label_63 - label_61 label_62	126	20_label_6 label_60 label_61_label_60 label_61_label_62 label_63_label_61 label_62 label_63
21	label_4 label_5 label_6 - label_5 label_6 - label_6 - label_1 label_2 label_3 - label_3 label_4 label_5	117	21_label_4 label_5 label_6_label_5 label_6_label_6_label_1 label_2 label_3
22	test - second - - -	106	22_test_second__
23	forest - industrial - transport - low - bamboo	104	23_forest_industrial_transport_low
24	answer - header - question - quantity -	104	24_answer_header_question_quantity
25	healthy - leaf - rust - plant - spot	103	25_healthy_leaf_rust_plant
26	left - right - stop - yes - unknown	100	26_left_right_stop_yes
27	en - na - alpha - fan - lifestyle	93	27_en_na_alpha_fan
28	label_13 label_14 label_15 - label_14 label_15 - label_15 - label_12 label_13 label_14 - label_11 label_12 label_13	92	28_label_13 label_14 label_15_label_14 label_15_label_15_label_12 label_13 label_14
29	disease - bio - disorder - healthy -	86	29_disease_bio_disorder_healthy
30	work - group - person product - product - location	86	30_work_group_person product_product
31	fear joy - sadness surprise - anger fear - joy love - surprise	82	31_fear joy_sadness surprise_anger fear_joy love
32	common - non - different - -	78	32_common_non_different_
33	dis - - - -	76	33_dis___
34	- - - -	73	34____
35	restaurant - pizza - place - salad - food	69	35_restaurant_pizza_place_salad
36	cconj det intj - adj adp adv - det intj noun - det intj - noun num pron	66	36_cconj det intj_adj adp adv_det intj noun_det intj
37	label_17 label_18 label_19 - label_18 label_19 label_2 - label_18 label_19 - label_19 label_2 - label_16 label_17 label_18	66	37_label_17 label_18 label_19_label_18 label_19 label_2_label_18 label_19_label_19 label_2
38	ll - year - related - cause - delete	65	38_ll_year_related_cause
39	anger fear - joy love - surprise - joy - love	64	39_anger fear_joy love_surprise_joy
40	true - news - partial - -	64	40_true_news_partial_
41	- - - -	63	41____
42	label_1 label_10 label_11 - label_10 label_11 - label_8 label_9 label_0 - label_7 label_8 label_9 - label_8 label_9	62	42_label_1 label_10 label_11_label_10 label_11_label_8 label_9 label_0_label_7 label_8 label_9
43	pos - neg - - -	62	43_pos_neg__
44	loc org - org - loc - date - sex	61	44_loc org_org_loc_date
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	event - group - person product - product - location	57	46_event_group_person product_product
47	bio - chemical - disease - effect - food	57	47_bio_chemical_disease_effect
48	234 - 19 20 21 - 20 21 22 - 22 23 24 - 23 24	57	48_234_19 20 21_20 21 22_22 23 24
49	fear happy neutral - happy neutral - fear happy - sad - happy	53	49_fear happy neutral_happy neutral_fear happy_sad
50	battery - volume - juice - chinese - korean	53	50_battery_volume_juice_chinese
51	menu - price - num - -	52	51_menu_price_num_
52	poor - ok - good - bad - great	52	52_poor_ok_good_bad
53	ll - cause - delete - unknown -	51	53_ll_cause_delete_unknown
54	hospital - unknown - en - material - digital	48	54_hospital_unknown_en_material
55	ll - cause - delete - unknown -	48	55_ll_cause_delete_unknown
56	self - question - neutral - yes - statement	48	56_self_question_neutral_yes
57	fat - loose - small - sugar - common	47	57_fat_loose_small_sugar
58	true - - - -	47	58_true___
59	cream - drinks - seafood - fruit - ice cream	46	59_cream_drinks_seafood_fruit
60	tr - ru - pers - pt - prod	46	60_tr_ru_pers_pt
61	- - - -	45	61____
62	clothing - care - kitchen - personal - health	44	62_clothing_care_kitchen_personal
63	business - news - tech - entertainment - sport	43	63_business_news_tech_entertainment
64	non - partial - neutral - yes - ok	43	64_non_partial_neutral_yes
65	organization person - location organization - organization - location - person	43	65_organization person_location organization_organization_location
66	daisy - tulip - rose - -	43	66_daisy_tulip_rose_
67	joy - sadness - anger - angry - happy	42	67_joy_sadness_anger_angry
68	samoyed - corgi - husky - pomeranian - golden	41	68_samoyed_corgi_husky_pomeranian
69	music - instrument - engine - wind - animals	41	69_music_instrument_engine_wind
70	hate - language - reporting - non - normal	41	70_hate_language_reporting_non
71	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	41	71_label_23 label_24 label_25_label_24 label_25_label_22 label_23 label_24_label_23 label_24
72	id - - - -	40	72_id___
73	animals - tech - dance - tiger - sport	40	73_animals_tech_dance_tiger
74	org org - loc loc - org - misc - loc	40	74_org org_loc loc_org_misc
75	star - positive - negative - negative positive -	38	75_star_positive_negative_negative positive
76	bird - ship - frog - horse - truck	37	76_bird_ship_frog_horse
77	cat - cats - dog - dogs - sleeping	37	77_cat_cats_dog_dogs
78	family - sports - music - related - health	37	78_family_sports_music_related
79	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	37	79_label_8 label_9 label_0_label_9 label_0 label_1_label_9 label_0_label_7 label_8 label_9
80	room - service - transport - care - kitchen	37	80_room_service_transport_care
81	positive - negative - neutral positive - neutral - positive negative	37	81_positive_negative_neutral positive_neutral
82	test - play - train - non - live	36	82_test_play_train_non
83	tim - evt - pro - gpe - org	36	83_tim_evt_pro_gpe
84	cold - disease - pressure - drug - blood	36	84_cold_disease_pressure_drug
85	non - early - late - -	35	85_non_early_late_
86	21 - office - 20 - 17 - 16	34	86_21_office_20_17
87	prep - nn - cc - pro - ex	34	87_prep_nn_cc_pro
88	evidence - position - statement - lead - request	33	88_evidence_position_statement_lead
89	adp - aux - sconj - cconj - det noun	33	89_adp_aux_sconj_cconj
90	job - start - help - address - quantity	33	90_job_start_help_address
91	gender - number - case - ind - person	33	91_gender_number_case_ind
92	threat - hate - adult - target - male	33	92_threat_hate_adult_target
93	institution - tools - organization - org - agent	32	93_institution_tools_organization_org
94	- - - -	32	94____
95	email - age - patient - state - zip	32	95_email_age_patient_state
96	mixed - positive - negative - neutral - neutral positive	32	96_mixed_positive_negative_neutral
97	test - help - joke - contact - report	32	97_test_help_joke_contact
98	address - balance - statement - request - second	31	98_address_balance_statement_request
99	- - - -	31	99____
100	hate - non - neutral - -	30	100_hate_non_neutral_
101	- - - -	30	101____
102	unk - zero - seven - 10 - blank	30	102_unk_zero_seven_10
103	male - female - young - adult - skin	30	103_male_female_young_adult
104	94 - 59 60 - 49 50 - 81 - 97	29	104_94_59 60_49 50_81
105	normal - cell - large - clean - lower	29	105_normal_cell_large_clean
106	lincoln - jaguar - audio - source - general	28	106_lincoln_jaguar_audio_source
107	title - section - header - list - item	28	107_title_section_header_list
108	- - - -	28	108____
109	yes - - - -	27	109_yes___
110	- - - -	26	110____
111	contradiction - entailment - neutral - non -	26	111_contradiction_entailment_neutral_non
112	instrument - org org - org org org - term - org	26	112_instrument_org org_org org org_term
113	ft - cardinal - act - loc - loc loc	25	113_ft_cardinal_act_loc
114	event - pro - pers - loc org - prod	25	114_event_pro_pers_loc org
115	ben - ext - exp - root - loc	25	115_ben_ext_exp_root
116	- - - -	25	116____
117	low - - - -	25	117_low___
118	ft - cardinal - act - loc - loc misc org	25	118_ft_cardinal_act_loc
119	statement - question - evidence - experience - answer	25	119_statement_question_evidence_experience
120	label_122 - label_121 - label_120 - label_123 - label_119	24	120_label_122_label_121_label_120_label_123
121	clean - - - -	24	121_clean___
122	ru - tr - el - en - hi	24	122_ru_tr_el_en
123	disgust - sadness surprise - joy love - surprise - joy	24	123_disgust_sadness surprise_joy love_surprise
124	statement - info - check - news - non	24	124_statement_info_check_news
125	motor - start - help - housing - yes	24	125_motor_start_help_housing
126	greek - chinese - italian - japanese - dutch	24	126_greek_chinese_italian_japanese
127	anger disgust - fear - disgust - sadness - anger	23	127_anger disgust_fear_disgust_sadness
128	date event - percent person - quantity - money - percent	23	128_date event_percent person_quantity_money
129	label_95 label_96 label_97 - label_97 label_98 label_99 - label_97 label_98 - label_94 label_95 label_96 - label_94 label_95	23	129_label_95 label_96 label_97_label_97 label_98 label_99_label_97 label_98_label_94 label_95 label_96
130	period - question - noun - number -	23	130_period_question_noun_number
131	neutral - - - -	22	131_neutral___
132	local - la - pad - data - personal	22	132_local_la_pad_data
133	partial - - - -	22	133_partial___
134	human - art - machine - -	22	134_human_art_machine_
135	fear joy - sadness surprise - surprise - disgust fear - joy	21	135_fear joy_sadness surprise_surprise_disgust fear
136	location organization - organization person - organization - price - disease	21	136_location organization_organization person_organization_price
137	14 15 16 - 12 13 14 - 13 14 15 - 11 12 13 - 10 11 12	21	137_14 15 16_12 13 14_13 14 15_11 12 13
138	sports - tech - business - sport -	21	138_sports_tech_business_sport
139	disorder - body - patient - age - disease	20	139_disorder_body_patient_age
140	sad - dis - sur - joy -	20	140_sad_dis_sur_joy
141	healthy - - - -	20	141_healthy___
142	drink - tea - wine - coffee - soft	20	142_drink_tea_wine_coffee
143	protein - chemical - cell - -	20	143_protein_chemical_cell_
144	rna - - - -	20	144_rna___
145	normal - covid - - -	20	145_normal_covid__
146	ex - pt - - -	20	146_ex_pt__
147	ok - ft - year - int - rel	20	147_ok_ft_year_int
148	header - currency - item - zip - state	20	148_header_currency_item_zip
149	label_122 label_123 - label_123 - label_122 - label_121 - label_120	19	149_label_122 label_123_label_123_label_122_label_121
150	anger disgust - anger disgust fear - disgust fear - disgust - sadness surprise	19	150_anger disgust_anger disgust fear_disgust fear_disgust
151	na - nn - ft - dis - bio	19	151_na_nn_ft_dis
152	angry - happy - sad - happy neutral - neutral	19	152_angry_happy_sad_happy neutral
153	organization percent person - organization percent - miscellaneous - percent person - percent	19	153_organization percent person_organization percent_miscellaneous_percent person
154	paper - metal - glass - tray - ticket	19	154_paper_metal_glass_tray
155	mask - normal - sharp - head - green	19	155_mask_normal_sharp_head
156	noun num pron - num pron propn - pron propn punct - num pron - adj adp adv	18	156_noun num pron_num pron propn_pron propn punct_num pron
157	answer - - - -	18	157_answer___
158	review - id - job - email - state	18	158_review_id_job_email
159	seven - queen - jack - king - war	18	159_seven_queen_jack_king
160	neg - nan - good - -	18	160_neg_nan_good_
161	ii - blank - vi - et - lower	18	161_ii_blank_vi_et
162	golden - husky - samoyed - pug - german	17	162_golden_husky_samoyed_pug
163	arg - delete - act - neg - lead	17	163_arg_delete_act_neg
164	exp - pp - intj - punc - prep	17	164_exp_pp_intj_punc
165	email - form - letter - report - news	17	165_email_form_letter_report
166	protein - rna - cell - line - type	17	166_protein_rna_cell_line
167	en - hi - fur - -	17	167_en_hi_fur_
168	- - - -	17	168____
169	- - - -	17	169____
170	loc loc - loc - pers - evt -	16	170_loc loc_loc_pers_evt
171	menu - - - -	16	171_menu___
172	normal - - - -	16	172_normal___
173	label_122 label_123 - label_97 label_98 label_99 - label_97 label_98 - label_96 label_97 label_98 - label_98 label_99	16	173_label_122 label_123_label_97 label_98 label_99_label_97 label_98_label_96 label_97 label_98
174	cell - organ - organism - tissue - disease	16	174_cell_organ_organism_tissue
175	target - instrument - opinion - price - product	16	175_target_instrument_opinion_price
176	org org - org org org - loc loc - org - prs	16	176_org org_org org org_loc loc_org
177	10 11 - 10 11 12 - 11 12 - 12 - 11	16	177_10 11_10 11 12_11 12_12
178	korean - russian - dutch - persian - french	16	178_korean_russian_dutch_persian
179	label_4 label_40 label_41 - label_39 label_4 label_40 - label_38 label_39 label_4 - label_37 label_38 label_39 - label_40 label_41	16	179_label_4 label_40 label_41_label_39 label_4 label_40_label_38 label_39 label_4_label_37 label_38 label_39
180	experience - location - loc misc org - loc misc - misc org	15	180_experience_location_loc misc org_loc misc
181	normal - pressure - high - water -	15	181_normal_pressure_high_water
182	company - institution - loc org - degree - org	15	182_company_institution_loc org_degree
183	short - sl - long - -	15	183_short_sl_long_
184	good - bad - non - -	15	184_good_bad_non_
185	149 - 151 - 191 - 199 - 231	15	185_149_151_191_199
186	unknown - vi - ii - -	15	186_unknown_vi_ii_
187	end - head - cross - -	15	187_end_head_cross_
188	forest - street - road - tree - mountain	15	188_forest_street_road_tree
189	label_7 label_8 label_9 - label_8 label_9 - label_0 label_1 label_10 - label_1 label_10 - label_10	14	189_label_7 label_8 label_9_label_8 label_9_label_0 label_1 label_10_label_1 label_10
190	prod - loc - evt - org org - loc loc	14	190_prod_loc_evt_org org
191	tech - business - sports - science - female	14	191_tech_business_sports_science
192	adult - child - young - -	14	192_adult_child_young_
193	human - organism - plants - -	14	193_human_organism_plants_
194	hot dog - chicken - hot - food - dog	14	194_hot dog_chicken_hot_food
195	rain - snow - - -	14	195_rain_snow__
196	objective - neutral - - -	14	196_objective_neutral__
197	pro - neutral - russian - attack -	14	197_pro_neutral_russian_attack
198	normal - disorder - good - -	14	198_normal_disorder_good_
199	road - good - bike - -	14	199_road_good_bike_
200	- - - -	14	200____
201	science - energy - arts - nuclear - systems	13	201_science_energy_arts_nuclear
202	- - - -	13	202____
203	event - ticket - ok - loose - non	13	203_event_ticket_ok_loose
204	neutral - left - right - unknown -	13	204_neutral_left_right_unknown
205	- - - -	13	205____
206	crime - pers - time - book - org	13	206_crime_pers_time_book
207	seven - start - record - zero - open	13	207_seven_start_record_zero
208	label_5 label_50 label_51 - label_50 label_51 label_52 - label_51 label_52 label_53 - label_51 label_52 - label_50 label_51	13	208_label_5 label_50 label_51_label_50 label_51 label_52_label_51 label_52 label_53_label_51 label_52
209	label_29 label_3 label_30 - label_26 label_27 label_28 - label_27 label_28 label_29 - label_27 label_28 - label_28 label_29 label_3	13	209_label_29 label_3 label_30_label_26 label_27 label_28_label_27 label_28 label_29_label_27 label_28
210	human - machine - - -	13	210_human_machine__
211	control - la - sin - social - ambient	13	211_control_la_sin_social
212	anger fear - sadness - anger - fear - fear joy	13	212_anger fear_sadness_anger_fear
213	panda - ticket - air - bamboo - el	13	213_panda_ticket_air_bamboo
214	target - - - -	13	214_target___
215	id - container - type - person - number	12	215_id_container_type_person
216	neutral - positive - negative - neutral positive - positive negative	12	216_neutral_positive_negative_neutral positive
217	change - bad - movement - work - science	12	217_change_bad_movement_work
218	rust - - - -	12	218_rust___
219	quantity - container - package - id - weight	12	219_quantity_container_package_id
220	text - - - -	12	220_text___
221	background - objective - - -	12	221_background_objective__
222	middle - subject - yes - request - answer	12	222_middle_subject_yes_request
223	- - - -	12	223____
224	public - ambiguous - non - person -	12	224_public_ambiguous_non_person
225	healthy - plant - pepper - spot - leaf	12	225_healthy_plant_pepper_spot
226	punc - prep - digit - latin - conj	12	226_punc_prep_digit_latin
227	location money - language - percent person - actor - money	12	227_location money_language_percent person_actor
228	- - - -	11	228____
229	punc - zero - pers - neg - reflex	11	229_punc_zero_pers_neg
230	album - major - copper - coon - common	11	230_album_major_copper_coon
231	metal - pop - country - dance - hip	11	231_metal_pop_country_dance
232	energy - common - grass - persian - removal	11	232_energy_common_grass_persian
233	man - double - bird - long - single	11	233_man_double_bird_long
234	17 - 16 - 18 - 13 - 15	11	234_17_16_18_13
235	email - actor - threat - tools - attack	11	235_email_actor_threat_tools
236	space - - - -	11	236_space___
237	type - country - jeep - van - lincoln	11	237_type_country_jeep_van
238	general - - - -	10	238_general___
239	ru - mat - - -	10	239_ru_mat__
240	contradiction - non - entailment - neutral -	10	240_contradiction_non_entailment_neutral
241	city - new - country - location - label_1	10	241_city_new_country_location
242	non - legal - sub - -	9	242_non_legal_sub_
243	tulip - cattle - motorcycle - road - color	8	243_tulip_cattle_motorcycle_road
244	item - color - cc - model -	8	244_item_color_cc_model
245	delivery - product - service - different - environment	7	245_delivery_product_service_different
246	degree - tim - neg - pos - propn	6	246_degree_tim_neg_pos
247	threat - hate - non - unknown - neutral	6	247_threat_hate_non_unknown
248	label_33 label_34 - label_32 label_33 label_34 - label_32 label_33 - label_31 label_32 label_33 - label_31 label_32	6	248_label_33 label_34_label_32 label_33 label_34_label_32 label_33_label_31 label_32 label_33
249	experience - location - - -	6	249_experience_location__
250	nat - gpe - geo - pro - tim	5	250_nat_gpe_geo_pro

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