cnn_dailymail_6789_200000_100000_v1_150topics_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_200000_100000_v1_150topics_train")
topic_model.get_topic_info()
Topic overview
- Number of topics: 150
- Number of training documents: 200000
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | said - one - year - people - also | 5 | -1_said_one_year_people |
| 0 | league - player - club - cup - goal | 104194 | 0_league_player_club_cup |
| 1 | police - said - told - murder - court | 19383 | 1_police_said_told_murder |
| 2 | security - us - military - government - said | 14660 | 2_security_us_military_government |
| 3 | race - win - champion - open - murray | 6315 | 3_race_win_champion_open |
| 4 | nfl - fight - game - team - player | 4973 | 4_nfl_fight_game_team |
| 5 | dog - animal - cat - zoo - pet | 2700 | 5_dog_animal_cat_zoo |
| 6 | obama - republican - president - republicans - romney | 2115 | 6_obama_republican_president_republicans |
| 7 | car - driver - driving - vehicle - road | 2068 | 7_car_driver_driving_vehicle |
| 8 | flight - plane - passenger - airline - airport | 2016 | 8_flight_plane_passenger_airline |
| 9 | nhs - bank - patient - eu - cent | 1995 | 9_nhs_bank_patient_eu |
| 10 | show - film - cosby - movie - actor | 1914 | 10_show_film_cosby_movie |
| 11 | weather - storm - snow - rain - water | 1874 | 11_weather_storm_snow_rain |
| 12 | shark - whale - ship - oil - sea | 1577 | 12_shark_whale_ship_oil |
| 13 | fashion - art - painting - artist - collection | 1513 | 13_fashion_art_painting_artist |
| 14 | war - soldier - army - scotland - british | 1485 | 14_war_soldier_army_scotland |
| 15 | space - earth - mars - planet - nasa | 1300 | 15_space_earth_mars_planet |
| 16 | ebola - virus - disease - health - outbreak | 1212 | 16_ebola_virus_disease_health |
| 17 | russian - russia - ukraine - putin - ukrainian | 1193 | 17_russian_russia_ukraine_putin |
| 18 | haiti - cuba - chavez - cuban - president | 1173 | 18_haiti_cuba_chavez_cuban |
| 19 | korea - north - korean - kim - south | 1120 | 19_korea_north_korean_kim |
| 20 | china - chinese - chinas - hong - beijing | 928 | 20_china_chinese_chinas_hong |
| 21 | property - house - price - home - estate | 909 | 21_property_house_price_home |
| 22 | mandela - africa - african - boko - haram | 884 | 22_mandela_africa_african_boko |
| 23 | bali - thai - thailand - philippines - bangkok | 866 | 23_bali_thai_thailand_philippines |
| 24 | apple - iphone - device - apples - ipad | 862 | 24_apple_iphone_device_apples |
| 25 | prince - royal - duchess - queen - princess | 827 | 25_prince_royal_duchess_queen |
| 26 | fire - blaze - firefighter - smoke - flame | 769 | 26_fire_blaze_firefighter_smoke |
| 27 | mexico - mexican - cartel - border - drug | 746 | 27_mexico_mexican_cartel_border |
| 28 | food - sugar - diet - calorie - chocolate | 739 | 28_food_sugar_diet_calorie |
| 29 | school - education - pupil - schools - teacher | 725 | 29_school_education_pupil_schools |
| 30 | india - delhi - indian - indias - singh | 558 | 30_india_delhi_indian_indias |
| 31 | facebook - user - app - social - twitter | 537 | 31_facebook_user_app_social |
| 32 | album - music - song - bieber - band | 536 | 32_album_music_song_bieber |
| 33 | pope - vatican - francis - church - cardinal | 534 | 33_pope_vatican_francis_church |
| 34 | name - child - boo - baby - wedding | 525 | 34_name_child_boo_baby |
| 35 | marijuana - smoking - tobacco - drug - cannabis | 520 | 35_marijuana_smoking_tobacco_drug |
| 36 | sandusky - penn - student - paterno - fraternity | 505 | 36_sandusky_penn_student_paterno |
| 37 | internet - computer - hacker - online - user | 490 | 37_internet_computer_hacker_online |
| 38 | weight - size - diet - stone - fat | 466 | 38_weight_size_diet_stone |
| 39 | book - novel - author - shades - potter | 398 | 39_book_novel_author_shades |
| 40 | japan - japanese - china - nuclear - reactor | 397 | 40_japan_japanese_china_nuclear |
| 41 | marriage - samesex - gay - state - court | 396 | 41_marriage_samesex_gay_state |
| 42 | ancient - archaeologist - tomb - roman - site | 384 | 42_ancient_archaeologist_tomb_roman |
| 43 | cancer - patient - skin - breast - treatment | 381 | 43_cancer_patient_skin_breast |
| 44 | mayor - ford - weiner - occupy - blasio | 374 | 44_mayor_ford_weiner_occupy |
| 45 | energy - gas - price - fracking - oil | 361 | 45_energy_gas_price_fracking |
| 46 | saatchi - madoff - ecclestone - lawson - nigella | 318 | 46_saatchi_madoff_ecclestone_lawson |
| 47 | abortion - baby - ivf - breastfeeding - woman | 312 | 47_abortion_baby_ivf_breastfeeding |
| 48 | christmas - shopper - shopping - tree - store | 309 | 48_christmas_shopper_shopping_tree |
| 49 | nazi - hitler - jews - camp - auschwitz | 308 | 49_nazi_hitler_jews_camp |
| 50 | climate - ice - warming - change - carbon | 275 | 50_climate_ice_warming_change |
| 51 | berlusconi - italian - roma - berlusconis - mafia | 263 | 51_berlusconi_italian_roma_berlusconis |
| 52 | rail - train - hs2 - london - passenger | 260 | 52_rail_train_hs2_london |
| 53 | transcript - student - news - todays - cnn | 256 | 53_transcript_student_news_todays |
| 54 | lottery - ticket - jackpot - winning - powerball | 248 | 54_lottery_ticket_jackpot_winning |
| 55 | abbott - minister - australian - asylum - australia | 239 | 55_abbott_minister_australian_asylum |
| 56 | fossil - specie - neanderthals - dinosaur - human | 237 | 56_fossil_specie_neanderthals_dinosaur |
| 57 | kasem - hospital - euthanasia - ashya - kerri | 224 | 57_kasem_hospital_euthanasia_ashya |
| 58 | hotel - beach - island - resort - city | 223 | 58_hotel_beach_island_resort |
| 59 | robot - 3d - printer - toy - technology | 214 | 59_robot_3d_printer_toy |
| 60 | jackson - jacksons - aeg - murray - michael | 209 | 60_jackson_jacksons_aeg_murray |
| 61 | brain - autism - sleep - alzheimers - adhd | 208 | 61_brain_autism_sleep_alzheimers |
| 62 | food - meat - product - cull - beef | 204 | 62_food_meat_product_cull |
| 63 | game - console - xbox - gaming - playstation | 201 | 63_game_console_xbox_gaming |
| 64 | hollande - sarkozy - trierweiler - french - francois | 196 | 64_hollande_sarkozy_trierweiler_french |
| 65 | alcohol - wine - drinking - beer - drink | 180 | 65_alcohol_wine_drinking_beer |
| 66 | woman - childcare - child - benefit - work | 174 | 66_woman_childcare_child_benefit |
| 67 | tower - building - 911 - memorial - york | 172 | 67_tower_building_911_memorial |
| 68 | epstein - prince - roberts - andrew - sex | 162 | 68_epstein_prince_roberts_andrew |
| 69 | wars - film - star - movie - hobbit | 152 | 69_wars_film_star_movie |
| 70 | spanish - gibraltar - spain - eta - basque | 143 | 70_spanish_gibraltar_spain_eta |
| 71 | jobs - billion - apple - wealth - gates | 139 | 71_jobs_billion_apple_wealth |
| 72 | waste - water - bag - plastic - toilet | 137 | 72_waste_water_bag_plastic |
| 73 | sotomayor - court - justice - supreme - ginsburg | 131 | 73_sotomayor_court_justice_supreme |
| 74 | falklands - clarkson - argentina - falkland - islands | 130 | 74_falklands_clarkson_argentina_falkland |
| 75 | miner - mine - factory - garment - bangladesh | 129 | 75_miner_mine_factory_garment |
| 76 | fgm - circumcision - hpv - genital - mutilation | 127 | 76_fgm_circumcision_hpv_genital |
| 77 | pollution - allergy - air - smog - pollen | 115 | 77_pollution_allergy_air_smog |
| 78 | bosnian - mladic - serb - srebrenica - war | 113 | 78_bosnian_mladic_serb_srebrenica |
| 79 | eye - ear - hand - surgery - implant | 100 | 79_eye_ear_hand_surgery |
| 80 | vitamin - statin - caffeine - risk - heart | 98 | 80_vitamin_statin_caffeine_risk |
| 81 | jeffs - flds - utah - church - polygamy | 95 | 81_jeffs_flds_utah_church |
| 82 | travolta - scientology - polanski - church - cruise | 93 | 82_travolta_scientology_polanski_church |
| 83 | toyota - recall - gm - vehicle - ignition | 92 | 83_toyota_recall_gm_vehicle |
| 84 | miss - pageant - beauty - competition - universe | 89 | 84_miss_pageant_beauty_competition |
| 85 | kyle - routh - sniper - littlefield - kyles | 85 | 85_kyle_routh_sniper_littlefield |
| 86 | veil - muslim - niqab - ban - burka | 81 | 86_veil_muslim_niqab_ban |
| 87 | hair - amish - beard - mullet - moustache | 79 | 87_hair_amish_beard_mullet |
| 88 | cruise - amoeba - norovirus - ill - illness | 78 | 88_cruise_amoeba_norovirus_ill |
| 89 | ring - diamond - jewelry - jewellery - heist | 76 | 89_ring_diamond_jewelry_jewellery |
| 90 | corruption - country - population - index - happiness | 76 | 90_corruption_country_population_index |
| 91 | clown - ghost - haunted - exorcism - ghostly | 73 | 91_clown_ghost_haunted_exorcism |
| 92 | bobbi - kristina - houston - whitney - gordon | 68 | 92_bobbi_kristina_houston_whitney |
| 93 | dubai - hajj - pilgrim - mecca - mme | 68 | 93_dubai_hajj_pilgrim_mecca |
| 94 | balloon - heene - trappe - falcon - circus | 66 | 94_balloon_heene_trappe_falcon |
| 95 | park - ski - canyon - national - cave | 64 | 95_park_ski_canyon_national |
| 96 | expedition - pole - antarctic - ice - ship | 64 | 96_expedition_pole_antarctic_ice |
| 97 | hockey - nhl - ice - game - kings | 63 | 97_hockey_nhl_ice_game |
| 98 | bull - gored - pamplona - bullfighting - bullfight | 62 | 98_bull_gored_pamplona_bullfighting |
| 99 | king - luther - civil - lincoln - kings | 61 | 99_king_luther_civil_lincoln |
| 100 | bucket - bowl - als - challenge - puppy | 60 | 100_bucket_bowl_als_challenge |
| 101 | tibetan - tibet - dalai - tibetans - lama | 60 | 101_tibetan_tibet_dalai_tibetans |
| 102 | mushroom - ash - tree - pumpkin - plant | 59 | 102_mushroom_ash_tree_pumpkin |
| 103 | ballet - filin - bolshoi - dancer - dmitrichenko | 50 | 103_ballet_filin_bolshoi_dancer |
| 104 | gm - crop - food - plant - genetically | 50 | 104_gm_crop_food_plant |
| 105 | disney - disneyland - walt - park - frozen | 45 | 105_disney_disneyland_walt_park |
| 106 | nuclear - davos - treaty - obama - weapon | 45 | 106_nuclear_davos_treaty_obama |
| 107 | bitcoin - currency - coin - bitcoins - note | 43 | 107_bitcoin_currency_coin_bitcoins |
| 108 | gun - laser - 3d - printer - weapon | 42 | 108_gun_laser_3d_printer |
| 109 | teeth - dentist - dental - tooth - denture | 40 | 109_teeth_dentist_dental_tooth |
| 110 | fragrance - scent - perfume - smell - bottle | 39 | 110_fragrance_scent_perfume_smell |
| 111 | holiday - apd - tax - flight - thanksgiving | 38 | 111_holiday_apd_tax_flight |
| 112 | oldest - age - imich - okawa - birthday | 36 | 112_oldest_age_imich_okawa |
| 113 | plate - search - camera - police - database | 36 | 113_plate_search_camera_police |
| 114 | kitty - hello - hong - kong - sanrio | 32 | 114_kitty_hello_hong_kong |
| 115 | nobel - prize - peace - award - committee | 31 | 115_nobel_prize_peace_award |
| 116 | violin - orchestra - stradivarius - instrument - stradivari | 31 | 116_violin_orchestra_stradivarius_instrument |
| 117 | dna - graphene - cell - genome - synthetic | 30 | 117_dna_graphene_cell_genome |
| 118 | teresa - giudice - gabor - anhalt - zsa | 29 | 118_teresa_giudice_gabor_anhalt |
| 119 | gandolfini - sopranos - gandolfinis - soprano - actor | 27 | 119_gandolfini_sopranos_gandolfinis_soprano |
| 120 | turing - bletchley - enigma - turings - code | 26 | 120_turing_bletchley_enigma_turings |
| 121 | nelson - napoleon - battle - trafalgar - hms | 26 | 121_nelson_napoleon_battle_trafalgar |
| 122 | redskins - name - native - snyder - mascot | 25 | 122_redskins_name_native_snyder |
| 123 | marilyn - fawcett - monroe - oneal - farrah | 25 | 123_marilyn_fawcett_monroe_oneal |
| 124 | helmet - virtual - oculus - headset - vr | 25 | 124_helmet_virtual_oculus_headset |
| 125 | eurovision - contest - song - conchita - azerbaijan | 23 | 125_eurovision_contest_song_conchita |
| 126 | flag - union - national - flags - st | 21 | 126_flag_union_national_flags |
| 127 | clooney - amal - alamuddin - chao - george | 20 | 127_clooney_amal_alamuddin_chao |
| 128 | python - monty - cleese - pythons - idle | 19 | 128_python_monty_cleese_pythons |
| 129 | accent - dialect - language - cromarty - sound | 19 | 129_accent_dialect_language_cromarty |
| 130 | mayan - apocalypse - maya - calendar - end | 18 | 130_mayan_apocalypse_maya_calendar |
| 131 | evolution - creationism - scientific - intelligent - theory | 18 | 131_evolution_creationism_scientific_intelligent |
| 132 | prabowo - indonesia - jakarta - widodo - jokowi | 17 | 132_prabowo_indonesia_jakarta_widodo |
| 133 | favourite - fan - top - yougov - five | 15 | 133_favourite_fan_top_yougov |
| 134 | detroit - poverty - city - census - rate | 15 | 134_detroit_poverty_city_census |
| 135 | arafat - arafats - polonium - palestinian - polonium210 | 15 | 135_arafat_arafats_polonium_palestinian |
| 136 | dmlaterbundle - twittervia - lanza - zann - ilfracombe | 13 | 136_dmlaterbundle_twittervia_lanza_zann |
| 137 | clock - time - hour - daylight - westworth | 13 | 137_clock_time_hour_daylight |
| 138 | ikea - furniture - ikeas - kamprad - fsc | 12 | 138_ikea_furniture_ikeas_kamprad |
| 139 | phone - radiation - mobile - cancer - cell | 10 | 139_phone_radiation_mobile_cancer |
| 140 | dangi - guinness - kulkarni - tall - mruga | 9 | 140_dangi_guinness_kulkarni_tall |
| 141 | vick - vicks - nfl - falcons - virginia | 9 | 141_vick_vicks_nfl_falcons |
| 142 | bulb - light - leds - paddle - bulbs | 8 | 142_bulb_light_leds_paddle |
| 143 | wormhole - photon - teleportation - relativity - warp | 7 | 143_wormhole_photon_teleportation_relativity |
| 144 | bundy - cliven - bundys - cattle - land | 6 | 144_bundy_cliven_bundys_cattle |
| 145 | valentines - cuddle - romantic - hess - cuddling | 6 | 145_valentines_cuddle_romantic_hess |
| 146 | port - cairo - almasry - egypt - ministry | 6 | 146_port_cairo_almasry_egypt |
| 147 | sanford - sanfords - jenny - carolina - mark | 5 | 147_sanford_sanfords_jenny_carolina |
| 148 | deeds - gus - creigh - virginia - son | 5 | 148_deeds_gus_creigh_virginia |
Training hyperparameters
- calculate_probabilities: False
- language: english
- low_memory: False
- min_topic_size: 10
- n_gram_range: (1, 1)
- nr_topics: 150
- 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
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