---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---

# WGNEWS_APR20

This is a [BERTopic](https://github.com/MaartenGr/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:

```python
from bertopic import BERTopic
topic_model = BERTopic.load("tyrealqian/WGNEWS_APR20")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 57
* Number of training documents: 6094

<details>
  <summary>Click here for an overview of all topics.</summary>

  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | media - athletes - ceremony - opening - opening ceremony | 20 | -1_media_athletes_ceremony_opening | 
| 0 | covid - cases - pandemic - omicron - covid cases | 2071 | 0_covid_cases_pandemic_omicron | 
| 1 | teamcanada - curling - canada - hockey - canadas | 438 | 1_teamcanada_curling_canada_hockey | 
| 2 | kamila - valieva - kamila valieva - russian figure - skater kamila | 268 | 2_kamila_valieva_kamila valieva_russian figure | 
| 3 | winter sports - sports - ice snow - globalink - passion | 199 | 3_winter sports_sports_ice snow_globalink | 
| 4 | spokesperson - globalink - ambassador - turkish - said globalink | 197 | 4_spokesperson_globalink_ambassador_turkish | 
| 5 | dwen - mascot - bing dwen - dwen dwen - bing | 182 | 5_dwen_mascot_bing dwen_dwen dwen | 
| 6 | speed - short track - speed skating - track speed - track | 173 | 6_speed_short track_speed skating_track speed | 
| 7 | gu - eileen - womens freeski - eileen gu - gu ailing | 145 | 7_gu_eileen_womens freeski_eileen gu | 
| 8 | torch - flame - torch relay - relay - olympic flame | 139 | 8_torch_flame_torch relay_relay | 
| 9 | australia - diplomatic boycott - diplomatic - boycott - join diplomatic | 127 | 9_australia_diplomatic boycott_diplomatic_boycott | 
| 10 | traditional - chinese new - new year - papercutting - culture | 107 | 10_traditional_chinese new_new year_papercutting | 
| 11 | carbon - green - pollution - air quality - climate | 105 | 11_carbon_green_pollution_air quality | 
| 12 | biden - diplomatic boycott - diplomatic - white house - joe | 79 | 12_biden_diplomatic boycott_diplomatic_white house | 
| 13 | oval - skating oval - national speed - venue - ice | 73 | 13_oval_skating oval_national speed_venue | 
| 14 | mikaela - shiffrin - mikaela shiffrin - slalom - race | 71 | 14_mikaela_shiffrin_mikaela shiffrin_slalom | 
| 15 | socalled - boycott beijing - boycott - politicians - opposes | 69 | 15_socalled_boycott beijing_boycott_politicians | 
| 16 | robot - robots - food - serving - served | 68 | 16_robot_robots_food_serving | 
| 17 | putin - vladimir - vladimir putin - russian president - president vladimir | 66 | 17_putin_vladimir_vladimir putin_russian president | 
| 18 | kiara reddingius - kiara - reddingius - australian - australias | 65 | 18_kiara reddingius_kiara_reddingius_australian | 
| 19 | xi jinping - jinping - president xi - xi - chinese president | 65 | 19_xi jinping_jinping_president xi_xi | 
| 20 | human rights - rights - human - chinas human - rights watch | 61 | 20_human rights_rights_human_chinas human | 
| 21 | yanqing - paralympic - villages - winter paralympic - completed | 60 | 21_yanqing_paralympic_villages_winter paralympic | 
| 22 | nest - birds nest - birds - rehearsal - fireworks | 59 | 22_nest_birds nest_birds_rehearsal | 
| 23 | sadowskisynnott - new zealands - zealands - womens slopestyle - jakara | 59 | 23_sadowskisynnott_new zealands_zealands_womens slopestyle | 
| 24 | shaun - shaun white - white - halfpipe - hirano | 58 | 24_shaun_shaun white_white_halfpipe | 
| 25 | su - yiming - su yiming - mens snowboard - snowboarder su | 57 | 25_su_yiming_su yiming_mens snowboard | 
| 26 | heres watch - opening ceremony - opening - cbc - watch opening | 51 | 26_heres watch_opening ceremony_opening_cbc | 
| 27 | nhl - players - nhl players - send players - olympics nhl | 49 | 27_nhl_players_nhl players_send players | 
| 28 | medals grabs - gold delegations - heres breakdown - breakdown - count stands | 47 | 28_medals grabs_gold delegations_heres breakdown_breakdown | 
| 29 | president thomas - bach - thomas bach - thomas - ioc president | 47 | 29_president thomas_bach_thomas bach_thomas | 
| 30 | nathan chen - chen - nathan - skater nathan - elton | 45 | 30_nathan chen_chen_nathan_skater nathan | 
| 31 | snowfall - heavy - heavy snowfall - weather - snow | 43 | 31_snowfall_heavy_heavy snowfall_weather | 
| 32 | jamaicas - jamaica - benjamin alexander - benjamin - alexander | 43 | 32_jamaicas_jamaica_benjamin alexander_benjamin | 
| 33 | countdown - countdown beijing - day countdown - days - days beijing | 42 | 33_countdown_countdown beijing_day countdown_days | 
| 34 | reuterspictures - pictures - day pictures - pictures beijing - olympics day | 40 | 34_reuterspictures_pictures_day pictures_pictures beijing | 
| 35 | bank - commemorative - yuan - digital - coins | 40 | 35_bank_commemorative_yuan_digital | 
| 36 | yuzuruhanyu - hanyu - yuzuru - japanese - yuzuru hanyu | 39 | 36_yuzuruhanyu_hanyu_yuzuru_japanese | 
| 37 | xi - president xi - xi jinping - jinping - chinese president | 37 | 37_xi_president xi_xi jinping_jinping | 
| 38 | aerials - xu mengtao - mengtao - xu - womens aerials | 34 | 38_aerials_xu mengtao_mengtao_xu | 
| 39 | tickets - sell - sell tickets - sold - spectators | 33 | 39_tickets_sell_sell tickets_sold | 
| 40 | technologies - aerospace - technology - technologies used - scitech | 33 | 40_technologies_aerospace_technology_technologies used | 
| 41 | sui - cong - wenjing - sui wenjing - han cong | 32 | 41_sui_cong_wenjing_sui wenjing | 
| 42 | erin - jackson - erin jackson - woman - black | 32 | 42_erin_jackson_erin jackson_woman | 
| 43 | burner - personal - phones - apps smartphonelike - smartphonelike device | 31 | 43_burner_personal_phones_apps smartphonelike | 
| 44 | leduc - nonbinary - openly - timothy leduc - timothy | 30 | 44_leduc_nonbinary_openly_timothy leduc | 
| 45 | summer winter - host summer - city host - summer - city | 27 | 45_summer winter_host summer_city host_summer | 
| 46 | ukraine - invasion - ukraines - ukraine beijing - invasion ukraine | 26 | 46_ukraine_invasion_ukraines_ukraine beijing | 
| 47 | ralph lauren - lauren - uniforms - ralph - lauren unveiled | 26 | 47_ralph lauren_lauren_uniforms_ralph | 
| 48 | argentine - fernandez - president alberto - argentine president - alberto fernandez | 25 | 48_argentine_fernandez_president alberto_argentine president | 
| 49 | truce - olympic truce - antonio guterres - secretarygeneral antonio - guterres | 25 | 49_truce_olympic truce_antonio guterres_secretarygeneral antonio | 
| 50 | peng - shuai - peng shuai - tennis - chinese tennis | 25 | 50_peng_shuai_peng shuai_tennis | 
| 51 | zhangjiakou - chongli district - chongli - hebei - cohost | 23 | 51_zhangjiakou_chongli district_chongli_hebei | 
| 52 | athletes watch - watch beijing - names - biggest names - look biggest | 23 | 52_athletes watch_watch beijing_names_biggest names | 
| 53 | railway - highspeed - train - highspeed railway - beijingzhangjiakou highspeed | 23 | 53_railway_highspeed_train_highspeed railway | 
| 54 | peel - laura peel - laura - kerry - aerial | 22 | 54_peel_laura peel_laura_kerry | 
| 55 | shougang - shougang park - industrial - park - big air | 20 | 55_shougang_shougang park_industrial_park |

</details>

## Training hyperparameters

* calculate_probabilities: True
* language: None
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: None
* seed_topic_list: None
* top_n_words: 10
* verbose: True
* zeroshot_min_similarity: 0.7
* zeroshot_topic_list: None

## Framework versions

* Numpy: 2.0.2
* HDBSCAN: 0.8.40
* UMAP: 0.5.7
* Pandas: 2.2.2
* Scikit-Learn: 1.6.1
* Sentence-transformers: 3.4.1
* Transformers: 4.51.3
* Numba: 0.60.0
* Plotly: 5.24.1
* Python: 3.11.12