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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# xsum_123_3000_1500_validation |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("KingKazma/xsum_123_3000_1500_validation") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 27 |
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* Number of training documents: 1500 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| -1 | said - mr - would - also - year | 5 | -1_said_mr_would_also | |
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| 0 | police - said - court - mr - found | 654 | 0_police_said_court_mr | |
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| 1 | said - council - site - would - development | 101 | 1_said_council_site_would | |
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| 2 | attack - killed - taliban - syria - government | 68 | 2_attack_killed_taliban_syria | |
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| 3 | gold - world - race - sport - olympic | 57 | 3_gold_world_race_sport | |
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| 4 | price - bank - rate - share - company | 53 | 4_price_bank_rate_share | |
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| 5 | party - vote - labour - mr - ukip | 52 | 5_party_vote_labour_mr | |
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| 6 | league - season - player - premier - club | 49 | 6_league_season_player_premier | |
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| 7 | cricket - england - wicket - game - test | 45 | 7_cricket_england_wicket_game | |
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| 8 | crash - car - road - accident - said | 42 | 8_crash_car_road_accident | |
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| 9 | wales - game - rugby - davies - hes | 40 | 9_wales_game_rugby_davies | |
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| 10 | patient - health - hospital - service - ambulance | 34 | 10_patient_health_hospital_service | |
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| 11 | foul - corner - half - box - kick | 32 | 11_foul_corner_half_box | |
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| 12 | trump - clinton - mr - mrs - us | 30 | 12_trump_clinton_mr_mrs | |
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| 13 | president - mr - africa - south - mugabe | 30 | 13_president_mr_africa_south | |
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| 14 | animal - dog - bird - said - rspca | 28 | 14_animal_dog_bird_said | |
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| 15 | school - education - teacher - child - pupil | 26 | 15_school_education_teacher_child | |
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| 16 | world - round - number - murray - court | 25 | 16_world_round_number_murray | |
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| 17 | northern - ireland - party - dup - sinn | 23 | 17_northern_ireland_party_dup | |
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| 18 | album - song - like - music - band | 17 | 18_album_song_like_music | |
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| 19 | fire - building - police - blaze - service | 16 | 19_fire_building_police_blaze | |
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| 20 | fossil - brontosaurus - dinosaur - found - animal | 16 | 20_fossil_brontosaurus_dinosaur_found | |
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| 21 | film - star - artist - novel - photograph | 16 | 21_film_star_artist_novel | |
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| 22 | wage - income - living - tax - uk | 11 | 22_wage_income_living_tax | |
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| 23 | gang - guerrero - prison - state - police | 11 | 23_gang_guerrero_prison_state | |
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| 24 | albion - brighton - hove - burton - wigan | 11 | 24_albion_brighton_hove_burton | |
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| 25 | 3d - space - kelly - cmdr - flight | 8 | 25_3d_space_kelly_cmdr | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: True |
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* language: english |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: None |
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* seed_topic_list: None |
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* top_n_words: 10 |
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* verbose: False |
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## Framework versions |
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* Numpy: 1.22.4 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.3 |
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* Pandas: 1.5.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.2.2 |
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* Transformers: 4.31.0 |
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* Numba: 0.57.1 |
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* Plotly: 5.13.1 |
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* Python: 3.10.12 |
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