cnn_dailymail_123_3000_1500_train

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_123_3000_1500_train")

topic_model.get_topic_info()

Topic overview

• Number of topics: 57
• Number of training documents: 3000

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	said - one - police - people - year	10	-1_said_one_police_people
0	league - player - cup - goal - game	1070	0_league_player_cup_goal
1	police - said - home - murder - found	320	1_police_said_home_murder
2	court - mr - said - year - sex	142	2_court_mr_said_year
3	obama - president - republicans - house - republican	113	3_obama_president_republicans_house
4	plane - flight - passenger - airport - aircraft	89	4_plane_flight_passenger_airport
5	hospital - care - family - baby - mr	59	5_hospital_care_family_baby
6	fashion - dress - style - look - collection	57	6_fashion_dress_style_look
7	mr - minister - cameron - party - labour	50	7_mr_minister_cameron_party
8	weight - diet - food - fat - school	49	8_weight_diet_food_fat
9	mars - space - climate - nasa - mission	43	9_mars_space_climate_nasa
10	apple - ipad - iphone - app - apples	41	10_apple_ipad_iphone_app
11	shark - dolphin - fish - coast - water	39	11_shark_dolphin_fish_coast
12	teacher - school - student - said - state	37	12_teacher_school_student_said
13	murray - wimbledon - win - champion - match	36	13_murray_wimbledon_win_champion
14	race - prix - hamilton - gold - world	33	14_race_prix_hamilton_gold
15	dog - animal - owner - dogs - tiger	32	15_dog_animal_owner_dogs
16	syrian - syria - isis - islamic - force	32	16_syrian_syria_isis_islamic
17	storm - weather - lava - snow - said	32	17_storm_weather_lava_snow
18	chocolate - sale - cent - online - caramel	32	18_chocolate_sale_cent_online
19	afghanistan - afghan - pakistan - herat - taliban	32	19_afghanistan_afghan_pakistan_herat
20	music - band - halen - song - album	30	20_music_band_halen_song
21	beach - island - resort - park - hotel	29	21_beach_island_resort_park
22	mcilroy - golf - round - shot - hole	27	22_mcilroy_golf_round_shot
23	text - data - nsa - credit - email	26	23_text_data_nsa_credit
24	show - film - movie - actor - griffiths	26	24_show_film_movie_actor
25	putin - russian - russia - ukraine - moscow	26	25_putin_russian_russia_ukraine
26	art - artist - work - painting - pinata	25	26_art_artist_work_painting
27	economy - eurozone - european - euro - debt	24	27_economy_eurozone_european_euro
28	north - kim - korea - korean - jong	24	28_north_kim_korea_korean
29	ebola - virus - liberia - africa - outbreak	22	29_ebola_virus_liberia_africa
30	bike - speed - road - driver - cyclist	22	30_bike_speed_road_driver
31	car - accident - driver - scene - crash	20	31_car_accident_driver_scene
32	price - london - house - home - property	20	32_price_london_house_home
33	al - qaeda - yemen - us - yemeni	20	33_al_qaeda_yemen_us
34	mrs - police - murder - greaves - mr	20	34_mrs_police_murder_greaves
35	per - cent - people - age - average	19	35_per_cent_people_age
36	philpott - court - berry - husband - dewani	18	36_philpott_court_berry_husband
37	facebook - photo - user - instagram - cuddle	17	37_facebook_photo_user_instagram
38	vaccine - meningitis - disease - flu - princeton	17	38_vaccine_meningitis_disease_flu
39	bear - lion - gorilla - cub - zoo	16	39_bear_lion_gorilla_cub
40	brain - drug - alzheimers - memory - patient	16	40_brain_drug_alzheimers_memory
41	prince - royal - queen - duchess - duke	16	41_prince_royal_queen_duchess
42	boat - ship - river - vessel - ferry	15	42_boat_ship_river_vessel
43	china - chinese - chinas - organ - hong	14	43_china_chinese_chinas_organ
44	egypt - election - egyptian - mubarak - protest	13	44_egypt_election_egyptian_mubarak
45	mexico - mexican - cartel - mexicos - drug	13	45_mexico_mexican_cartel_mexicos
46	cia - assange - snowden - us - interrogation	13	46_cia_assange_snowden_us
47	police - hartman - hore - store - maitua	13	47_police_hartman_hore_store
48	israeli - israel - palestinian - gaza - hamas	12	48_israeli_israel_palestinian_gaza
49	pension - tax - scheme - energy - cent	12	49_pension_tax_scheme_energy
50	council - neighbour - village - site - shed	12	50_council_neighbour_village_site
51	occupy - protester - york - cosby - mayor	11	51_occupy_protester_york_cosby
52	mould - allergic - allergy - reaction - hand	11	52_mould_allergic_allergy_reaction
53	boko - haram - nigeria - sudan - isis	11	53_boko_haram_nigeria_sudan
54	disaster - building - tsunami - people - quake	11	54_disaster_building_tsunami_people
55	castro - sloot - der - ariel - aruba	11	55_castro_sloot_der_ariel

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: 0.56.4
• Plotly: 5.13.1
• Python: 3.10.6