MARTINI_enrich_BERTopic_orlaredchan
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("AIDA-UPM/MARTINI_enrich_BERTopic_orlaredchan")
topic_model.get_topic_info()
Topic overview
- Number of topics: 30
- Number of training documents: 4472
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | migrants - gardai - protest - covid - ngos | 21 | -1_migrants_gardai_protest_covid |
| 0 | illegals - refugee - irishtimes - nigeria - ukrainians | 2925 | 0_illegals_refugee_irishtimes_nigeria |
| 1 | irishmen - ulster - nationalist - cailleach - surrender | 164 | 1_irishmen_ulster_nationalist_cailleach |
| 2 | abduction - kilkenny - daughter - chased - garda | 114 | 2_abduction_kilkenny_daughter_chased |
| 3 | raped - accused - convictions - jailed - pakistan | 99 | 3_raped_accused_convictions_jailed |
| 4 | blanchardstown - drogheda - gangs - carraigaline - stabbed | 98 | 4_blanchardstown_drogheda_gangs_carraigaline |
| 5 | africans - slavery - irishness - shelbourne - majekodunmi | 89 | 5_africans_slavery_irishness_shelbourne |
| 6 | fraudsters - scammed - nigeria - laundering - suspect | 88 | 6_fraudsters_scammed_nigeria_laundering |
| 7 | kildarenow - finglas - accommodation - protested - blessington | 73 | 7_kildarenow_finglas_accommodation_protested |
| 8 | nationalities - census - scotland - percentage - majority | 68 | 8_nationalities_census_scotland_percentage |
| 9 | censorship - criminalise - legislation - bunreacht - mcguirk | 65 | 9_censorship_criminalise_legislation_bunreacht |
| 10 | quarantine - superspreading - tanaiste - airports - britain | 57 | 10_quarantine_superspreading_tanaiste_airports |
| 11 | migrants - european - lukashenko - poland - merkel | 51 | 11_migrants_european_lukashenko_poland |
| 12 | oats - silage - farmers - corrib - imported | 48 | 12_oats_silage_farmers_corrib |
| 13 | transgenderism - pedophiles - heteronormativity - nhs - teachers | 46 | 13_transgenderism_pedophiles_heteronormativity_nhs |
| 14 | vaccine - pfizer - gsk - snopes - waterford | 46 | 14_vaccine_pfizer_gsk_snopes |
| 15 | france - zemmour - aoussaoui - islamist - rioting | 42 | 15_france_zemmour_aoussaoui_islamist |
| 16 | murder - tullamore - jozef - ashling - jurors | 40 | 16_murder_tullamore_jozef_ashling |
| 17 | irelandisfull - rents - migrants - ronan - soros | 36 | 17_irelandisfull_rents_migrants_ronan |
| 18 | stabbings - gaelscoil - suspected - algerian - parnell | 33 | 18_stabbings_gaelscoil_suspected_algerian |
| 19 | freeyoutubeapp - telegram - bigtaboochannel - uploaded - subscribers | 32 | 19_freeyoutubeapp_telegram_bigtaboochannel_uploaded |
| 20 | paedophile - tatchell - lgbt - cunnilingus - advocated | 31 | 20_paedophile_tatchell_lgbt_cunnilingus |
| 21 | volunteersforukraine - zelensky - putin - libya - nazification | 30 | 21_volunteersforukraine_zelensky_putin_libya |
| 22 | asylum - kinnegad - committee - screened - hotels | 30 | 22_asylum_kinnegad_committee_screened |
| 23 | protestors - ballsbridge - roadblocks - constituency - bohemians | 28 | 23_protestors_ballsbridge_roadblocks_constituency |
| 24 | antifa - protesters - kilraine - idiots - corcoran | 25 | 24_antifa_protesters_kilraine_idiots |
| 25 | birthright - deported - passport - niall - amendment | 25 | 25_birthright_deported_passport_niall |
| 26 | shitlibs - retweeters - donegaldaily - hashtags - campaigned | 24 | 26_shitlibs_retweeters_donegaldaily_hashtags |
| 27 | gypsies - slovakia - begging - robbing - discrimination | 22 | 27_gypsies_slovakia_begging_robbing |
| 28 | mosques - clonskeagh - impic_ie - qadri - extremists | 22 | 28_mosques_clonskeagh_impic_ie_qadri |
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: False
- zeroshot_min_similarity: 0.7
- zeroshot_topic_list: None
Framework versions
- Numpy: 1.26.4
- HDBSCAN: 0.8.40
- UMAP: 0.5.7
- Pandas: 2.2.3
- Scikit-Learn: 1.5.2
- Sentence-transformers: 3.3.1
- Transformers: 4.46.3
- Numba: 0.60.0
- Plotly: 5.24.1
- Python: 3.10.12
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