MARTINI_enrich_BERTopic_SETexasProudBoys
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_SETexasProudBoys")
topic_model.get_topic_info()
Topic overview
- Number of topics: 19
- Number of training documents: 2381
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | america - antifa - biden - fuck - everyone | 20 | -1_america_antifa_biden_fuck |
| 0 | fucking - link - banned - everyone - poyb | 1604 | 0_fucking_link_banned_everyone |
| 1 | texas - illegals - mexico - mcallen - border | 110 | 1_texas_illegals_mexico_mcallen |
| 2 | transgenderism - sodomites - lgbtqia - brainwashing - controversial | 82 | 2_transgenderism_sodomites_lgbtqia_brainwashing |
| 3 | whites - genocide - multiracialism - jonestown - shootings | 66 | 3_whites_genocide_multiracialism_jonestown |
| 4 | jury - mistrial - prosecutors - rioters - kenosha | 64 | 4_jury_mistrial_prosecutors_rioters |
| 5 | hyperinflation - fed - yellen - btc - banking | 57 | 5_hyperinflation_fed_yellen_btc |
| 6 | vaccinated - pfizered - injecting - hahaha - soyjack | 56 | 6_vaccinated_pfizered_injecting_hahaha |
| 7 | antifa - riot - protesters - olympia - shootout | 37 | 7_antifa_riot_protesters_olympia |
| 8 | zionists - mossad - israeli - wolfowitz - traitor | 36 | 8_zionists_mossad_israeli_wolfowitz |
| 9 | proudboys - fellas - fascist - fucking - brother | 33 | 9_proudboys_fellas_fascist_fucking |
| 10 | guns - militia - civilrightstaskforce - repealed - dick | 33 | 10_guns_militia_civilrightstaskforce_repealed |
| 11 | belarus - putin - crimean - sviatlana - sanctions | 31 | 11_belarus_putin_crimean_sviatlana |
| 12 | fbi - terrorist - insurrectionists - mcveigh - suppressed | 30 | 12_fbi_terrorist_insurrectionists_mcveigh |
| 13 | afghanistan - talibans - mujahideen - overthrew - globohomo | 29 | 13_afghanistan_talibans_mujahideen_overthrew |
| 14 | vaccine - miscarriages - injected - mrna - shots | 28 | 14_vaccine_miscarriages_injected_mrna |
| 15 | divine - lohengrin - gloria - eightfold - silence | 25 | 15_divine_lohengrin_gloria_eightfold |
| 16 | airplanes - deadliest - fema - tornado - detonated | 20 | 16_airplanes_deadliest_fema_tornado |
| 17 | biden - pelosi - pollster - lugenpresse - crackhead | 20 | 17_biden_pelosi_pollster_lugenpresse |
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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