MARTINI_enrich_BERTopic_PVardon
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_PVardon")
topic_model.get_topic_info()
Topic overview
- Number of topics: 10
- Number of training documents: 815
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | droite - toujours - victoire - zemmour - philippe | 20 | -1_droite_toujours_victoire_zemmour |
| 0 | patrouille - citoyens - quartiers - fusillades - novembre | 518 | 0_patrouille_citoyens_quartiers_fusillades |
| 1 | lampedusa - europeennes - migratoire - tunisie - accueil | 59 | 1_lampedusa_europeennes_migratoire_tunisie |
| 2 | islamistes - aissaoui - municipalite - imam - mosquee | 50 | 2_islamistes_aissaoui_municipalite_imam |
| 3 | europeennes - deputes - macronistes - groupe - zemmour | 34 | 3_europeennes_deputes_macronistes_groupe |
| 4 | agresseur - multirecidiviste - nantes - algerien - faisaient | 30 | 4_agresseur_multirecidiviste_nantes_algerien |
| 5 | retrouvons - anniversairereconquete - moucheboeuf - septembre - arrondissements | 27 | 5_retrouvons_anniversairereconquete_moucheboeuf_septembre |
| 6 | dieu - merci - joyeuses - retrouveront - χαρα | 27 | 6_dieu_merci_joyeuses_retrouveront |
| 7 | departement - migrants - accueil - conseiller - majeurs | 26 | 7_departement_migrants_accueil_conseiller |
| 8 | marseillais - reconquete - yvelines - stephane - senateur | 24 | 8_marseillais_reconquete_yvelines_stephane |
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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