cnn_dailymail_108_50000_25000_validation

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("KingKazma/cnn_dailymail_108_50000_25000_validation")

topic_model.get_topic_info()

Topic overview

• Number of topics: 92
• Number of training documents: 13368

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	said - police - one - year - also	5	-1_said_police_one_year
0	league - game - player - goal - season	4918	0_league_game_player_goal
1	isis - syria - islamic - group - iraq	2700	1_isis_syria_islamic_group
2	dog - animal - elephant - bear - cat	415	2_dog_animal_elephant_bear
3	labour - mr - party - election - cameron	386	3_labour_mr_party_election
4	flight - plane - aircraft - pilot - crash	340	4_flight_plane_aircraft_pilot
5	hair - fashion - dress - look - model	248	5_hair_fashion_dress_look
6	car - driver - driving - road - police	227	6_car_driver_driving_road
7	food - cent - sugar - health - per	221	7_food_cent_sugar_health
8	police - officer - shooting - shot - said	215	8_police_officer_shooting_shot
9	clinton - email - obama - president - state	213	9_clinton_email_obama_president
10	cricket - england - cup - world - zealand	191	10_cricket_england_cup_world
11	property - house - home - room - price	184	11_property_house_home_room
12	fight - pacquiao - mayweather - manny - floyd	171	12_fight_pacquiao_mayweather_manny
13	hamilton - mercedes - race - prix - rosberg	135	13_hamilton_mercedes_race_prix
14	baby - hospital - birth - mother - child	127	14_baby_hospital_birth_mother
15	murray - wells - tennis - andy - match	127	15_murray_wells_tennis_andy
16	eclipse - earth - solar - sun - planet	102	16_eclipse_earth_solar_sun
17	police - abuse - sex - sexual - child	98	17_police_abuse_sex_sexual
18	apple - watch - device - user - google	96	18_apple_watch_device_user
19	netanyahu - iran - nuclear - israel - israeli	83	19_netanyahu_iran_nuclear_israel
20	putin - russian - nemtsov - moscow - russia	82	20_putin_russian_nemtsov_moscow
21	weight - fat - diet - size - stone	81	21_weight_fat_diet_size
22	race - armstrong - doping - world - tour	78	22_race_armstrong_doping_world
23	court - fraud - money - bank - mr	76	23_court_fraud_money_bank
24	cheltenham - hurdle - horse - race - jockey	74	24_cheltenham_hurdle_horse_race
25	mcilroy - round - masters - woods - golf	72	25_mcilroy_round_masters_woods
26	prince - charles - royal - duchess - camilla	72	26_prince_charles_royal_duchess
27	fraternity - university - sae - chapter - oklahoma	68	27_fraternity_university_sae_chapter
28	chan - sukumaran - bali - indonesian - mack	65	28_chan_sukumaran_bali_indonesian
29	ebola - sierra - virus - leone - disease	64	29_ebola_sierra_virus_leone
30	school - teacher - student - girl - sexual	58	30_school_teacher_student_girl
31	fire - building - explosion - blaze - firefighter	52	31_fire_building_explosion_blaze
32	nfl - borland - football - 49ers - season	52	32_nfl_borland_football_49ers
33	clarkson - bbc - gear - top - jeremy	50	33_clarkson_bbc_gear_top
34	ski - skier - mountain - avalanche - rock	47	34_ski_skier_mountain_avalanche
35	patient - nhs - ae - cancer - hospital	46	35_patient_nhs_ae_cancer
36	india - rape - documentary - indian - singh	45	36_india_rape_documentary_indian
37	mr - death - court - emery - miss	43	37_mr_death_court_emery
38	show - corden - host - stewart - williams	42	38_show_corden_host_stewart
39	car - vehicle - electric - cars - tesla	40	39_car_vehicle_electric_cars
40	school - child - education - porn - sex	38	40_school_child_education_porn
41	boko - haram - nigeria - nigerian - nigerias	37	41_boko_haram_nigeria_nigerian
42	marijuana - drug - cannabis - colorado - lsd	34	42_marijuana_drug_cannabis_colorado
43	law - indiana - gay - marriage - religious	33	43_law_indiana_gay_marriage
44	ferguson - department - police - justice - report	32	44_ferguson_department_police_justice
45	image - photographer - photography - photograph - photo	31	45_image_photographer_photography_photograph
46	snow - inch - winter - ice - storm	30	46_snow_inch_winter_ice
47	basketball - ncaa - coach - tournament - game	30	47_basketball_ncaa_coach_tournament
48	tsarnaev - boston - dzhokhar - tamerlan - tsarnaevs	30	48_tsarnaev_boston_dzhokhar_tamerlan
49	durst - dursts - berman - orleans - robert	29	49_durst_dursts_berman_orleans
50	jesus - ancient - stone - cave - circle	29	50_jesus_ancient_stone_cave
51	zayn - band - direction - singer - dance	29	51_zayn_band_direction_singer
52	film - movie - vivian - hollywood - script	23	52_film_movie_vivian_hollywood
53	korean - korea - kim - north - lippert	23	53_korean_korea_kim_north
54	weather - rain - temperature - snow - today	23	54_weather_rain_temperature_snow
55	robbery - woodger - store - cash - police	22	55_robbery_woodger_store_cash
56	parade - patricks - st - irish - green	21	56_parade_patricks_st_irish
57	secret - clancy - service - agent - white	20	57_secret_clancy_service_agent
58	hernandez - lloyd - jenkins - hernandezs - lloyds	20	58_hernandez_lloyd_jenkins_hernandezs
59	nazi - anne - nazis - war - camp	20	59_nazi_anne_nazis_war
60	snowden - intelligence - gchq - security - agency	18	60_snowden_intelligence_gchq_security
61	huang - chinese - china - mingxi - chen	17	61_huang_chinese_china_mingxi
62	wedding - married - marlee - platt - woodyard	17	62_wedding_married_marlee_platt
63	drug - cocaine - jailed - cannabis - tobacco	17	63_drug_cocaine_jailed_cannabis
64	cnn - transcript - student - news - roll	17	64_cnn_transcript_student_news
65	pope - francis - vatican - naples - pontiff	17	65_pope_francis_vatican_naples
66	richard - iii - leicester - king - iiis	17	66_richard_iii_leicester_king
67	chinese - tourist - temple - thailand - buddhist	16	67_chinese_tourist_temple_thailand
68	china - chinese - internet - chai - stopera	16	68_china_chinese_internet_chai
69	execution - lethal - gissendaner - injection - drug	16	69_execution_lethal_gissendaner_injection
70	woman - marriage - men - attractive - chalmers	15	70_woman_marriage_men_attractive
71	vanuatu - cyclone - vila - port - pam	15	71_vanuatu_cyclone_vila_port
72	poldark - turner - demelza - aidan - drama	15	72_poldark_turner_demelza_aidan
73	point - rebound - scored - points - harden	14	73_point_rebound_scored_points
74	rail - calais - parking - migrant - dickens	13	74_rail_calais_parking_migrant
75	johnson - student - virginia - charlottesville - uva	13	75_johnson_student_virginia_charlottesville
76	cuba - havana - cuban - rousseff - us	13	76_cuba_havana_cuban_rousseff
77	paris - attack - synagogue - hebdo - charlie	13	77_paris_attack_synagogue_hebdo
78	duckenfield - mr - gate - hillsborough - disaster	12	78_duckenfield_mr_gate_hillsborough
79	gordon - bobbi - kristina - phil - dr	12	79_gordon_bobbi_kristina_phil
80	knox - sollecito - kercher - raffaele - amanda	12	80_knox_sollecito_kercher_raffaele
81	coin - medal - war - auction - cross	12	81_coin_medal_war_auction
82	starbucks - schultz - race - racial - campaign	12	82_starbucks_schultz_race_racial
83	cosby - cosbys - thompson - bill - welles	11	83_cosby_cosbys_thompson_bill
84	jeffs - flds - rivette - compound - speer	10	84_jeffs_flds_rivette_compound
85	selma - alabama - march - bridge - civil	8	85_selma_alabama_march_bridge
86	jobs - naomi - fortune - redballoon - bn	8	86_jobs_naomi_fortune_redballoon
87	brain - object - retina - neuron - word	8	87_brain_object_retina_neuron
88	netflix - tv - content - streaming - screen	8	88_netflix_tv_content_streaming
89	social - user - tweet - twitter - tool	7	89_social_user_tweet_twitter
90	cunard - bird - darshan - ship - liner	6	90_cunard_bird_darshan_ship

Training hyperparameters

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

Framework versions

• Numpy: 1.22.4
• HDBSCAN: 0.8.33
• UMAP: 0.5.3
• Pandas: 1.5.3
• Scikit-Learn: 1.2.2
• Sentence-transformers: 2.2.2
• Transformers: 4.31.0
• Numba: 0.57.1
• Plotly: 5.13.1
• Python: 3.10.12