MARTINI_enrich_BERTopic_generationidentitaire
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_generationidentitaire")
topic_model.get_topic_info()
Topic overview
- Number of topics: 11
- Number of training documents: 839
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | islamistes - terroriste - algerie - racisme - toulouse | 20 | -1_islamistes_terroriste_algerie_racisme |
| 0 | lyon - toulousains - agresseurs - arrondissement - affiches | 428 | 0_lyon_toulousains_agresseurs_arrondissement |
| 1 | marseille - migratoire - soutenez - frontieres - portillon | 134 | 1_marseille_migratoire_soutenez_frontieres |
| 2 | pauvres - solidaire - parisien - macron - quarantaine | 58 | 2_pauvres_solidaire_parisien_macron |
| 3 | droite - zemmour - colonialisme - raisons - charlemagne | 34 | 3_droite_zemmour_colonialisme_raisons |
| 4 | parler - sociaux - liberte - politiquement - censurer | 31 | 4_parler_sociaux_liberte_politiquement |
| 5 | boxeurs - lyon - reouverture - entrainements - septembre | 29 | 5_boxeurs_lyon_reouverture_entrainements |
| 6 | universite - belgique - macronisme - guillaume - redacteur | 29 | 6_universite_belgique_macronisme_guillaume |
| 7 | lyon - antireligieuse - decembre - traditionnelle - organisateurs | 27 | 7_lyon_antireligieuse_decembre_traditionnelle |
| 8 | islamistes - bataclan - attentats - abdeslam - novembre | 25 | 8_islamistes_bataclan_attentats_abdeslam |
| 9 | islamistes - muezzin - youssef - pourquoi - goussainville | 24 | 9_islamistes_muezzin_youssef_pourquoi |
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
- Downloads last month
- -