MARTINI_enrich_BERTopic_RealDonaldoTrumpo
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_RealDonaldoTrumpo")
topic_model.get_topic_info()
Topic overview
- Number of topics: 21
- Number of training documents: 1905
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | desantis - biden - everyone - bullshito - mike | 21 | -1_desantis_biden_everyone_bullshito |
| 0 | buenas - goodnight - patriotos - hugs - yourselfo | 855 | 0_buenas_goodnight_patriotos_hugs |
| 1 | baracko - biden - joe - idiots - taliban | 158 | 1_baracko_biden_joe_idiots |
| 2 | patrioti - liberta - italiani - france - brothers | 99 | 2_patrioti_liberta_italiani_france |
| 3 | fauci - vaccinated - bullshito - shots - daszak | 93 | 3_fauci_vaccinated_bullshito_shots |
| 4 | buenas - hugs - patriotos - familias - awesomest | 93 | 4_buenas_hugs_patriotos_familias |
| 5 | buenos - fiestas - patrioto - vamonooooooooooooooooos - friday | 65 | 5_buenos_fiestas_patrioto_vamonooooooooooooooooos |
| 6 | twittero - presidento - papitrumpo - jajajajajaja - gowokegobrokeyoupisoshitosis | 59 | 6_twittero_presidento_papitrumpo_jajajajajaja |
| 7 | buenas - hugs - patriotos - tonight - owls | 57 | 7_buenas_hugs_patriotos_tonight |
| 8 | ballots - fairfaxgop - democrats - rigged - county | 49 | 8_ballots_fairfaxgop_democrats_rigged |
| 9 | vamonooooooooooooooooos - patriotas - congrats - mondayo - cubanos | 40 | 9_vamonooooooooooooooooos_patriotas_congrats_mondayo |
| 10 | fiestaaaaaaaaaaaaaaaaa - buenas - patriotos - friday - thanksgiving | 38 | 10_fiestaaaaaaaaaaaaaaaaa_buenas_patriotos_friday |
| 11 | kamala - immigrantes - stripper - hermanas - hyenas | 37 | 11_kamala_immigrantes_stripper_hermanas |
| 12 | sundayo - patriotos - blessings - feliz - vamonooooooooooooooooos | 37 | 12_sundayo_patriotos_blessings_feliz |
| 13 | brothers - prayers - hugs - firefighters - veteran | 37 | 13_brothers_prayers_hugs_firefighters |
| 14 | pelosi - impeachment - subcommittee - january - nancy | 32 | 14_pelosi_impeachment_subcommittee_january |
| 15 | trumpo - presidento - lol - lindell - mike | 32 | 15_trumpo_presidento_lol_lindell |
| 16 | presidento - vamonooooos - ildonaldo - shitoposting - macarena | 27 | 16_presidento_vamonooooos_ildonaldo_shitoposting |
| 17 | buenas - hugs - amigos - night - awesomenesso | 27 | 17_buenas_hugs_amigos_night |
| 18 | patriot - goodness - night - friggin - everywhere | 26 | 18_patriot_goodness_night_friggin |
| 19 | fbi - prosecutors - protests - sotomayor - corrupt | 23 | 19_fbi_prosecutors_protests_sotomayor |
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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