cnn_dailymail_108_50000_25000_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_108_50000_25000_test")
topic_model.get_topic_info()
Topic overview
- Number of topics: 126
- 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 - would | 5 | -1_said_one_year_also |
| 0 | madrid - real - barcelona - atletico - ronaldo | 6198 | 0_madrid_real_barcelona_atletico |
| 1 | isis - syria - islamic - group - iraqi | 263 | 1_isis_syria_islamic_group |
| 2 | baby - cancer - hospital - birth - mother | 189 | 2_baby_cancer_hospital_birth |
| 3 | fight - mayweather - pacquiao - manny - floyd | 177 | 3_fight_mayweather_pacquiao_manny |
| 4 | driver - car - vehicle - road - crash | 163 | 4_driver_car_vehicle_road |
| 5 | united - van - manchester - gaal - city | 156 | 5_united_van_manchester_gaal |
| 6 | labour - ukip - party - mr - miliband | 129 | 6_labour_ukip_party_mr |
| 7 | masters - woods - augusta - mcilroy - spieth | 117 | 7_masters_woods_augusta_mcilroy |
| 8 | england - test - wicket - cricket - anderson | 115 | 8_england_test_wicket_cricket |
| 9 | fashion - dress - model - collection - designer | 107 | 9_fashion_dress_model_collection |
| 10 | school - student - teacher - sexual - sex | 105 | 10_school_student_teacher_sexual |
| 11 | minute - wigan - goal - watford - league | 99 | 11_minute_wigan_goal_watford |
| 12 | chocolate - food - sugar - egg - chicken | 97 | 12_chocolate_food_sugar_egg |
| 13 | liverpool - sterling - rodgers - gerrard - raheem | 93 | 13_liverpool_sterling_rodgers_gerrard |
| 14 | celtic - rangers - scottish - inverness - mccall | 91 | 14_celtic_rangers_scottish_inverness |
| 15 | clinton - hillary - clintons - president - campaign | 90 | 15_clinton_hillary_clintons_president |
| 16 | lion - animal - zoo - elephant - bear | 89 | 16_lion_animal_zoo_elephant |
| 17 | dog - cat - animal - pet - owner | 89 | 17_dog_cat_animal_pet |
| 18 | saracens - rugby - clermont - wasps - toulon | 75 | 18_saracens_rugby_clermont_wasps |
| 19 | murray - djokovic - open - berdych - miami | 74 | 19_murray_djokovic_open_berdych |
| 20 | chelsea - mourinho - chelseas - hazard - league | 70 | 20_chelsea_mourinho_chelseas_hazard |
| 21 | villa - sherwood - benteke - ramsey - aston | 68 | 21_villa_sherwood_benteke_ramsey |
| 22 | property - home - house - room - estate | 68 | 22_property_home_house_room |
| 23 | arsenal - wenger - gunners - arsene - sanchez | 66 | 23_arsenal_wenger_gunners_arsene |
| 24 | planet - earth - solar - surface - moon | 66 | 24_planet_earth_solar_surface |
| 25 | hamilton - rosberg - race - mercedes - prix | 66 | 25_hamilton_rosberg_race_mercedes |
| 26 | bayern - guardiola - porto - munich - pep | 64 | 26_bayern_guardiola_porto_munich |
| 27 | wars - film - star - movie - trailer | 62 | 27_wars_film_star_movie |
| 28 | hughes - capitol - security - snowden - gyrocopter | 60 | 28_hughes_capitol_security_snowden |
| 29 | newcastle - sunderland - carver - game - fan | 58 | 29_newcastle_sunderland_carver_game |
| 30 | gray - police - baltimore - officer - grays | 56 | 30_gray_police_baltimore_officer |
| 31 | shot - shooting - police - gun - said | 56 | 31_shot_shooting_police_gun |
| 32 | flight - plane - passenger - airport - airline | 53 | 32_flight_plane_passenger_airport |
| 33 | nepal - earthquake - kathmandu - everest - quake | 53 | 33_nepal_earthquake_kathmandu_everest |
| 34 | prince - royal - duchess - princess - queen | 51 | 34_prince_royal_duchess_princess |
| 35 | hotel - island - resort - sea - room | 49 | 35_hotel_island_resort_sea |
| 36 | fire - blaze - flame - smoke - firefighter | 48 | 36_fire_blaze_flame_smoke |
| 37 | ship - vessel - boat - crew - titanic | 48 | 37_ship_vessel_boat_crew |
| 38 | mccoy - jockey - race - ride - ap | 47 | 38_mccoy_jockey_race_ride |
| 39 | chan - sukumaran - execution - bali - indonesian | 46 | 39_chan_sukumaran_execution_bali |
| 40 | anzac - gallipoli - war - australian - sbs | 45 | 40_anzac_gallipoli_war_australian |
| 41 | weight - size - stone - eating - food | 44 | 41_weight_size_stone_eating |
| 42 | migrant - boat - libya - mediterranean - italian | 42 | 42_migrant_boat_libya_mediterranean |
| 43 | iran - nuclear - deal - agreement - irans | 41 | 43_iran_nuclear_deal_agreement |
| 44 | shark - whale - fish - seal - dolphin | 41 | 44_shark_whale_fish_seal |
| 45 | manziel - nfl - game - sox - quarterback | 41 | 45_manziel_nfl_game_sox |
| 46 | yemen - saudi - houthi - houthis - rebel | 40 | 46_yemen_saudi_houthi_houthis |
| 47 | money - fraud - court - bank - account | 39 | 47_money_fraud_court_bank |
| 48 | cave - dinosaur - neanderthals - bone - researcher | 35 | 48_cave_dinosaur_neanderthals_bone |
| 49 | bruce - bobbi - bobby - jenner - kris | 35 | 49_bruce_bobbi_bobby_jenner |
| 50 | pardew - premier - ham - league - palace | 34 | 50_pardew_premier_ham_league |
| 51 | hernandez - lloyd - hernandezs - odin - murder | 34 | 51_hernandez_lloyd_hernandezs_odin |
| 52 | apple - watch - battery - iphone - samsung | 33 | 52_apple_watch_battery_iphone |
| 53 | law - marriage - religious - samesex - gay | 32 | 53_law_marriage_religious_samesex |
| 54 | tsarnaev - boston - dzhokhar - marathon - tamerlan | 32 | 54_tsarnaev_boston_dzhokhar_marathon |
| 55 | buckley - police - glasgow - murder - miss | 32 | 55_buckley_police_glasgow_murder |
| 56 | slager - scott - officer - charleston - taser | 31 | 56_slager_scott_officer_charleston |
| 57 | alshabaab - garissa - kenya - kenyan - somalia | 31 | 57_alshabaab_garissa_kenya_kenyan |
| 58 | marathon - running - race - runner - run | 29 | 58_marathon_running_race_runner |
| 59 | tax - labour - osborne - economy - balls | 29 | 59_tax_labour_osborne_economy |
| 60 | aldi - phone - per - tesco - app | 29 | 60_aldi_phone_per_tesco |
| 61 | dellinger - langlais - murder - fradeneck - body | 29 | 61_dellinger_langlais_murder_fradeneck |
| 62 | vault - gang - raid - thief - hatton | 28 | 62_vault_gang_raid_thief |
| 63 | lubitz - germanwings - flight - crash - plane | 27 | 63_lubitz_germanwings_flight_crash |
| 64 | janner - lord - saunders - abuse - public | 27 | 64_janner_lord_saunders_abuse |
| 65 | point - nba - playoff - scored - rebound | 27 | 65_point_nba_playoff_scored |
| 66 | kane - tottenham - pochettino - townsend - spurs | 27 | 66_kane_tottenham_pochettino_townsend |
| 67 | groening - camp - auschwitz - nazi - kor | 26 | 67_groening_camp_auschwitz_nazi |
| 68 | crucible - osullivan - selby - frame - doherty | 25 | 68_crucible_osullivan_selby_frame |
| 69 | korea - kim - korean - north - seoul | 25 | 69_korea_kim_korean_north |
| 70 | melbourne - australia - islamic - rally - australian | 25 | 70_melbourne_australia_islamic_rally |
| 71 | nhs - patient - gp - gps - ae | 25 | 71_nhs_patient_gp_gps |
| 72 | bates - harris - tulsa - deputy - taser | 25 | 72_bates_harris_tulsa_deputy |
| 73 | artist - art - paint - painting - colouring | 25 | 73_artist_art_paint_painting |
| 74 | south - johannesburg - africa - african - violence | 24 | 74_south_johannesburg_africa_african |
| 75 | phelps - ennishill - olympic - bolt - championships | 24 | 75_phelps_ennishill_olympic_bolt |
| 76 | scott - leeton - stephanie - ms - scotts | 23 | 76_scott_leeton_stephanie_ms |
| 77 | cancer - breast - prostate - gene - treatment | 23 | 77_cancer_breast_prostate_gene |
| 78 | clarkson - gear - bbc - hammond - top | 21 | 78_clarkson_gear_bbc_hammond |
| 79 | russian - putin - russia - ukraine - moscow | 21 | 79_russian_putin_russia_ukraine |
| 80 | marijuana - cannabis - drug - hemp - medical | 21 | 80_marijuana_cannabis_drug_hemp |
| 81 | emoji - app - user - facebook - instagram | 21 | 81_emoji_app_user_facebook |
| 82 | brain - memory - dementia - study - rat | 20 | 82_brain_memory_dementia_study |
| 83 | vaccine - vaccination - cough - whooping - autism | 19 | 83_vaccine_vaccination_cough_whooping |
| 84 | boko - haram - nigeria - buhari - nigerian | 19 | 84_boko_haram_nigeria_buhari |
| 85 | housing - tenant - buy - association - property | 19 | 85_housing_tenant_buy_association |
| 86 | benaud - cricket - richie - test - commentator | 18 | 86_benaud_cricket_richie_test |
| 87 | space - rocket - spacex - launch - astronaut | 18 | 87_space_rocket_spacex_launch |
| 88 | cuba - castro - obama - cuban - president | 18 | 88_cuba_castro_obama_cuban |
| 89 | kun - pingan - xie - baby - china | 18 | 89_kun_pingan_xie_baby |
| 90 | song - music - studio - abbey - manuscript | 17 | 90_song_music_studio_abbey |
| 91 | holpin - funeral - care - child - older | 17 | 91_holpin_funeral_care_child |
| 92 | diamond - underground - rock - cave - garnet | 17 | 92_diamond_underground_rock_cave |
| 93 | sydney - storm - ses - flooding - weather | 17 | 93_sydney_storm_ses_flooding |
| 94 | china - chinese - chinas - gao - organ | 17 | 94_china_chinese_chinas_gao |
| 95 | genocide - armenians - armenian - pope - ottoman | 16 | 95_genocide_armenians_armenian_pope |
| 96 | dunblane - murray - andy - cathedral - wedding | 16 | 96_dunblane_murray_andy_cathedral |
| 97 | weather - temperature - warm - sunshine - yesterday | 15 | 97_weather_temperature_warm_sunshine |
| 98 | crash - died - manyang - accident - guode | 15 | 98_crash_died_manyang_accident |
| 99 | brandt - dr - kimmy - franff - fredric | 14 | 99_brandt_dr_kimmy_franff |
| 100 | mchenry - britt - towing - espn - battilana | 14 | 100_mchenry_britt_towing_espn |
| 101 | population - cent - per - immigrant - country | 14 | 101_population_cent_per_immigrant |
| 102 | tornado - storm - weather - hail - severe | 13 | 102_tornado_storm_weather_hail |
| 103 | school - exam - pupil - math - english | 13 | 103_school_exam_pupil_math |
| 104 | klopp - dortmund - tuchel - borussia - bundesliga | 13 | 104_klopp_dortmund_tuchel_borussia |
| 105 | water - drought - california - state - snow | 12 | 105_water_drought_california_state |
| 106 | fifa - blatter - uefa - chess - football | 12 | 106_fifa_blatter_uefa_chess |
| 107 | koeman - southampton - saints - fuchs - season | 12 | 107_koeman_southampton_saints_fuchs |
| 108 | nuclear - reactor - radiation - plant - fukushima | 12 | 108_nuclear_reactor_radiation_plant |
| 109 | car - audi - electric - vehicle - motor | 11 | 109_car_audi_electric_vehicle |
| 110 | glitter - sex - nauru - sexual - mee | 11 | 110_glitter_sex_nauru_sexual |
| 111 | luke - search - eildon - shambrook - missing | 11 | 111_luke_search_eildon_shambrook |
| 112 | music - spotify - radio - streaming - service | 11 | 112_music_spotify_radio_streaming |
| 113 | pusok - deputy - officer - mcmahon - bernardino | 9 | 113_pusok_deputy_officer_mcmahon |
| 114 | valle - hilbert - gilberto - dmx - whittington | 8 | 114_valle_hilbert_gilberto_dmx |
| 115 | alcohol - oak - wine - drinking - bottle | 7 | 115_alcohol_oak_wine_drinking |
| 116 | dollar - g650 - jesus - catholic - god | 7 | 116_dollar_g650_jesus_catholic |
| 117 | hair - labium - cheryl - finn - woman | 7 | 117_hair_labium_cheryl_finn |
| 118 | okawa - oldest - guinness - weber - weaver | 7 | 118_okawa_oldest_guinness_weber |
| 119 | martinez - everton - mirallas - lennon - roberto | 6 | 119_martinez_everton_mirallas_lennon |
| 120 | karmel - diet - paleo - vitamin - health | 6 | 120_karmel_diet_paleo_vitamin |
| 121 | redman - wisconsin - badgers - basketball - wildcats | 5 | 121_redman_wisconsin_badgers_basketball |
| 122 | singh - india - jyoti - indian - protest | 5 | 122_singh_india_jyoti_indian |
| 123 | volcano - eruption - dune - linear - ash | 5 | 123_volcano_eruption_dune_linear |
| 124 | tahir - castner - mascitelli - easy - restraining | 5 | 124_tahir_castner_mascitelli_easy |
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
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