cnn_dailymail_6789_50000_25000_v1_test

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_6789_50000_25000_v1_test")

topic_model.get_topic_info()

Topic overview

• Number of topics: 108
• Number of training documents: 11490

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	said - one - year - also - police	5	-1_said_one_year_also
0	league - season - player - game - goal	4981	0_league_season_player_game
1	isis - syria - islamic - group - militant	2424	1_isis_syria_islamic_group
2	property - hotel - room - house - home	194	2_property_hotel_room_house
3	fight - mayweather - pacquiao - floyd - manny	188	3_fight_mayweather_pacquiao_floyd
4	labour - miliband - snp - mr - leader	156	4_labour_miliband_snp_mr
5	driver - car - road - vehicle - driving	133	5_driver_car_road_vehicle
6	baby - hospital - cancer - birth - mother	133	6_baby_hospital_cancer_birth
7	school - student - teacher - pupil - class	125	7_school_student_teacher_pupil
8	flight - plane - passenger - airport - pilot	114	8_flight_plane_passenger_airport
9	masters - woods - augusta - spieth - mcilroy	112	9_masters_woods_augusta_spieth
10	fashion - dress - model - style - designer	107	10_fashion_dress_model_style
11	chocolate - food - egg - sugar - restaurant	98	11_chocolate_food_egg_sugar
12	clinton - hillary - clintons - president - campaign	89	12_clinton_hillary_clintons_president
13	police - murder - mr - miss - body	89	13_police_murder_mr_miss
14	lion - animal - elephant - zoo - wildlife	83	14_lion_animal_elephant_zoo
15	weight - food - eating - diet - size	82	15_weight_food_eating_diet
16	djokovic - murray - open - miami - berdych	75	16_djokovic_murray_open_miami
17	dog - cat - animal - owner - pet	75	17_dog_cat_animal_owner
18	police - vault - gang - thief - raid	74	18_police_vault_gang_thief
19	planet - solar - earth - surface - moon	65	19_planet_solar_earth_surface
20	gray - police - baltimore - officer - grays	64	20_gray_police_baltimore_officer
21	nepal - earthquake - kathmandu - everest - avalanche	58	21_nepal_earthquake_kathmandu_everest
22	fire - blaze - bradford - firefighter - flame	55	22_fire_blaze_bradford_firefighter
23	hamilton - rosberg - race - mercedes - prix	52	23_hamilton_rosberg_race_mercedes
24	prince - royal - queen - duchess - princess	52	24_prince_royal_queen_duchess
25	tax - labour - economy - mr - cameron	51	25_tax_labour_economy_mr
26	shot - police - shooting - brady - gun	48	26_shot_police_shooting_brady
27	anzac - gallipoli - war - australian - waterloo	47	27_anzac_gallipoli_war_australian
28	chan - sukumaran - execution - bali - indonesian	45	28_chan_sukumaran_execution_bali
29	migrant - boat - libya - mediterranean - italian	44	29_migrant_boat_libya_mediterranean
30	china - chinese - chinas - kun - organ	43	30_china_chinese_chinas_kun
31	iran - nuclear - deal - agreement - irans	43	31_iran_nuclear_deal_agreement
32	neanderthals - cave - human - specie - bone	43	32_neanderthals_cave_human_specie
33	shark - fish - whale - seal - water	41	33_shark_fish_whale_seal
34	mccoy - jockey - race - ride - sandown	41	34_mccoy_jockey_race_ride
35	yemen - saudi - houthi - houthis - rebel	39	35_yemen_saudi_houthi_houthis
36	ship - vessel - crew - boat - titanic	39	36_ship_vessel_crew_boat
37	nfl - manziel - game - quarterback - patriots	39	37_nfl_manziel_game_quarterback
38	bruce - jenner - bobbi - bobby - kris	38	38_bruce_jenner_bobbi_bobby
39	money - fraud - bank - account - court	38	39_money_fraud_bank_account
40	wars - star - film - movie - trailer	37	40_wars_star_film_movie
41	hernandez - lloyd - hernandezs - odin - murder	32	41_hernandez_lloyd_hernandezs_odin
42	law - religious - marriage - indiana - samesex	32	42_law_religious_marriage_indiana
43	child - langlais - death - murder - dellinger	31	43_child_langlais_death_murder
44	tsarnaev - boston - dzhokhar - tamerlan - death	31	44_tsarnaev_boston_dzhokhar_tamerlan
45	marathon - running - race - runner - run	31	45_marathon_running_race_runner
46	clarkson - gear - bbc - top - hammond	29	46_clarkson_gear_bbc_top
47	water - weather - temperature - drought - climate	29	47_water_weather_temperature_drought
48	point - nba - scored - playoff - rebound	29	48_point_nba_scored_playoff
49	marijuana - cannabis - drug - hemp - smoking	28	49_marijuana_cannabis_drug_hemp
50	slager - scott - officer - charleston - walter	28	50_slager_scott_officer_charleston
51	died - family - mother - inquest - child	28	51_died_family_mother_inquest
52	groening - camp - auschwitz - nazi - jews	27	52_groening_camp_auschwitz_nazi
53	alshabaab - garissa - kenya - kenyan - attack	26	53_alshabaab_garissa_kenya_kenyan
54	artist - paint - painted - colouring - art	26	54_artist_paint_painted_colouring
55	crucible - osullivan - frame - doherty - world	24	55_crucible_osullivan_frame_doherty
56	janner - lord - saunders - public - abuse	24	56_janner_lord_saunders_public
57	apple - watch - iphone - samsung - battery	23	57_apple_watch_iphone_samsung
58	korea - korean - kim - north - seoul	23	58_korea_korean_kim_north
59	tornado - storm - cloud - lightning - wind	21	59_tornado_storm_cloud_lightning
60	housing - tenant - property - buy - association	20	60_housing_tenant_property_buy
61	hughes - capitol - gyrocopter - secret - lawn	20	61_hughes_capitol_gyrocopter_secret
62	vaccine - vaccination - cough - whooping - autism	19	62_vaccine_vaccination_cough_whooping
63	putin - russian - russia - ukraine - moscow	19	63_putin_russian_russia_ukraine
64	boko - haram - nigeria - nigerian - buhari	19	64_boko_haram_nigeria_nigerian
65	south - johannesburg - africa - african - violence	19	65_south_johannesburg_africa_african
66	bates - harris - tulsa - deputy - taser	19	66_bates_harris_tulsa_deputy
67	aldi - tesco - cent - per - price	19	67_aldi_tesco_cent_per
68	bolt - phelps - ennishill - olympic - kipsiro	19	68_bolt_phelps_ennishill_olympic
69	cuba - castro - obama - cuban - president	18	69_cuba_castro_obama_cuban
70	murray - dunblane - sears - wedding - andy	18	70_murray_dunblane_sears_wedding
71	mchenry - weinstein - battilana - britt - towing	18	71_mchenry_weinstein_battilana_britt
72	nhs - gp - gps - ae - patient	18	72_nhs_gp_gps_ae
73	cancer - breast - prostate - gene - cell	18	73_cancer_breast_prostate_gene
74	emoji - app - user - facebook - use	17	74_emoji_app_user_facebook
75	melbourne - police - anzac - australian - australia	17	75_melbourne_police_anzac_australian
76	song - songs - no - album - chart	17	76_song_songs_no_album
77	sydney - storm - weather - flooding - hail	16	77_sydney_storm_weather_flooding
78	car - audi - motor - bentley - vehicle	15	78_car_audi_motor_bentley
79	rocket - space - spacex - launch - booster	15	79_rocket_space_spacex_launch
80	underground - land - cave - garnet - built	14	80_underground_land_cave_garnet
81	genocide - armenians - armenian - pope - ottoman	14	81_genocide_armenians_armenian_pope
82	hair - jamelia - labium - rita - cheryl	14	82_hair_jamelia_labium_rita
83	stephanie - scott - scotts - stanford - leeton	13	83_stephanie_scott_scotts_stanford
84	funeral - nelms - work - job - grandparent	13	84_funeral_nelms_work_job
85	alcohol - wine - drinking - oak - drink	13	85_alcohol_wine_drinking_oak
86	nuclear - reactor - radiation - plant - fukushima	12	86_nuclear_reactor_radiation_plant
87	luke - search - bushland - missing - eildon	12	87_luke_search_bushland_missing
88	snowden - nsa - agency - oliver - information	12	88_snowden_nsa_agency_oliver
89	brandt - dr - kimmy - franff - fredric	10	89_brandt_dr_kimmy_franff
90	tidal - music - radio - streaming - service	10	90_tidal_music_radio_streaming
91	population - immigrant - cent - per - immigration	10	91_population_immigrant_cent_per
92	brain - acetaminophen - meditation - cortisol - study	9	92_brain_acetaminophen_meditation_cortisol
93	god - church - dollar - catholic - schuller	8	93_god_church_dollar_catholic
94	phone - user - google - device - app	8	94_phone_user_google_device
95	cocaine - cutter - custom - seized - tsa	8	95_cocaine_cutter_custom_seized
96	pusok - deputy - officer - pusoks - mcmahon	7	96_pusok_deputy_officer_pusoks
97	stover - kost - rape - convicted - offender	7	97_stover_kost_rape_convicted
98	nauru - sexual - sex - genetic - convicted	7	98_nauru_sexual_sex_genetic
99	tsa - security - roberts - airport - employee	7	99_tsa_security_roberts_airport
100	eaves - beach - martistee - mckeithen - spring	7	100_eaves_beach_martistee_mckeithen
101	oclee - michelle - philippa - barrientos - mcwhirter	6	101_oclee_michelle_philippa_barrientos
102	redman - wisconsin - basketball - badgers - wildcats	6	102_redman_wisconsin_basketball_badgers
103	gransbury - biderman - funking - website - joke	6	103_gransbury_biderman_funking_website
104	richards - ariana - beverly - kim - hills	6	104_richards_ariana_beverly_kim
105	affleck - gates - renner - avengers - afflecks	5	105_affleck_gates_renner_avengers
106	skin - sun - protoporphyrin - cream - sunlight	5	106_skin_sun_protoporphyrin_cream

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: 1.23.5
• 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: 5.15.0
• Python: 3.10.12