cnn_dailymail_6789_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_6789_3000_1500_train")

topic_model.get_topic_info()

Topic overview

• Number of topics: 54
• Number of training documents: 3000

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	said - people - one - police - year	10	-1_said_people_one_police
0	player - league - cup - club - game	1072	0_player_league_cup_club
1	police - said - death - murder - found	291	1_police_said_death_murder
2	obama - president - republicans - house - republican	152	2_obama_president_republicans_house
3	labour - mr - cameron - minister - prime	98	3_labour_mr_cameron_minister
4	hospital - baby - surgery - heart - doctor	77	4_hospital_baby_surgery_heart
5	iphone - apple - user - device - phone	74	5_iphone_apple_user_device
6	doll - fashion - look - collection - like	69	6_doll_fashion_look_collection
7	syria - isis - syrian - iraq - iraqi	46	7_syria_isis_syrian_iraq
8	pakistan - taliban - al - drone - afghanistan	45	8_pakistan_taliban_al_drone
9	food - restaurant - menu - burger - coffee	43	9_food_restaurant_menu_burger
10	car - driver - vehicle - crash - driving	41	10_car_driver_vehicle_crash
11	space - tower - car - airport - nasa	40	11_space_tower_car_airport
12	property - house - home - apartment - room	40	12_property_house_home_apartment
13	school - rape - sexual - student - sex	36	13_school_rape_sexual_student
14	nfl - rice - quarterback - said - coach	36	14_nfl_rice_quarterback_said
15	music - album - song - miley - cnn	33	15_music_album_song_miley
16	olympic - gold - olympics - athlete - world	33	16_olympic_gold_olympics_athlete
17	zoo - bear - tian - elephant - ivory	33	17_zoo_bear_tian_elephant
18	flight - plane - aircraft - pilot - airport	32	18_flight_plane_aircraft_pilot
19	flu - bacteria - vaccine - health - disease	31	19_flu_bacteria_vaccine_health
20	dog - animal - pet - cat - dogs	30	20_dog_animal_pet_cat
21	school - education - exam - child - degree	30	21_school_education_exam_child
22	kenya - kenyan - mall - said - nairobi	28	22_kenya_kenyan_mall_said
23	cent - per - price - cadbury - christmas	27	23_cent_per_price_cadbury
24	french - france - sarkozy - hollande - minister	26	24_french_france_sarkozy_hollande
25	russian - ukraine - russia - putin - ukrainian	25	25_russian_ukraine_russia_putin
26	iran - nuclear - iranian - israel - irans	24	26_iran_nuclear_iranian_israel
27	film - bond - novel - the - cnn	24	27_film_bond_novel_the
28	lava - fire - snow - pahoa - volcano	24	28_lava_fire_snow_pahoa
29	drug - mexican - chavez - cartel - said	23	29_drug_mexican_chavez_cartel
30	ship - vessel - captain - crew - coast	23	30_ship_vessel_captain_crew
31	snowden - us - intelligence - information - gebregeorgis	23	31_snowden_us_intelligence_information
32	match - wimbledon - federer - final - open	22	32_match_wimbledon_federer_final
33	chinese - china - beijing - hong - protester	21	33_chinese_china_beijing_hong
34	jury - white - ferguson - police - said	21	34_jury_white_ferguson_police
35	weather - temperature - rain - warm - park	21	35_weather_temperature_rain_warm
36	prince - royal - william - princess - queen	20	36_prince_royal_william_princess
37	weight - fat - diet - gym - size	19	37_weight_fat_diet_gym
38	golf - mcilroy - round - pga - championship	19	38_golf_mcilroy_round_pga
39	hamilton - race - rosberg - prix - button	19	39_hamilton_race_rosberg_prix
40	north - kim - korean - korea - koreas	18	40_north_kim_korean_korea
41	human - found - fossil - ancient - fish	18	41_human_found_fossil_ancient
42	climate - change - global - energy - wind	17	42_climate_change_global_energy
43	school - teacher - pupil - schools - ofsted	17	43_school_teacher_pupil_schools
44	ebola - virus - health - outbreak - liberia	17	44_ebola_virus_health_outbreak
45	whale - nyad - shark - swim - beach	17	45_whale_nyad_shark_swim
46	money - kallakis - foster - court - wines	15	46_money_kallakis_foster_court
47	painting - art - portrait - auction - artist	14	47_painting_art_portrait_auction
48	solar - planet - sun - bubble - earth	14	48_solar_planet_sun_bubble
49	tsarnaev - oswald - boston - marathon - kennedy	14	49_tsarnaev_oswald_boston_marathon
50	patient - care - va - hospital - patients	14	50_patient_care_va_hospital
51	love - woman - im - relationship - men	13	51_love_woman_im_relationship
52	marijuana - alcohol - drug - hangover - liver	11	52_marijuana_alcohol_drug_hangover

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