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MARTINI_enrich_BERTopic_histoire_mensonges_FM_illuminati
AIDA-UPM/MARTINI_enrich_BERTopic_histoire_mensonges_FM_illuminati
MARTINI_enrich_BERTopic_histoire_mensonges_FM_illuminati is a text classification model from AIDA-UPM. Use it when you need a label for a piece of text. It is set up for bertopic.
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.
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At a glance
- Task
- Text Classification
- Library
- bertopic
- Access
- Public
- Created
- Jan 13, 2025
- Updated
- Jan 13, 2025
- SHA
- 5d3fff25
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Model card
From the Hugging Face model README
MARTINI_enrich_BERTopic_histoire_mensonges_FM_illuminati
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_histoire_mensonges_FM_illuminati")
topic_model.get_topic_info()
Topic overview
- Number of topics: 12
- Number of training documents: 1158
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | svastika - croix - symbole - illuminati - pourquoi | 24 | -1_svastika_croix_symbole_illuminati |
| 0 | ghislaine - epstein - trafficking - roumanie - angelina | 682 | 0_ghislaine_epstein_trafficking_roumanie |
| 1 | vaccins - pfizer - pandemie - masque - deuxieme | 74 | 1_vaccins_pfizer_pandemie_masque |
| 2 | baphomet - blavatsky - hermetique - egyptiens - druides | 72 | 2_baphomet_blavatsky_hermetique_egyptiens |
| 3 | israeliennes - palestinienne - hamas - netanyahou - gaziers | 68 | 3_israeliennes_palestinienne_hamas_netanyahou |
| 4 | giants - sitchin - archeologieinterdite - pyramids - ollantaytambo | 46 | 4_giants_sitchin_archeologieinterdite_pyramids |
| 5 | orgone - electrotherapie - bells - vibration - batteries | 37 | 5_orgone_electrotherapie_bells_vibration |
| 6 | ukraine - russie - zelensky - militaires - prigozhin | 36 | 6_ukraine_russie_zelensky_militaires |
| 7 | prophetie - fatima - sœur - soleil - 2023 | 35 | 7_prophetie_fatima_sœur_soleil |
| 8 | antarctique - heliocentrique - roskosmos - globe - satan | 31 | 8_antarctique_heliocentrique_roskosmos_globe |
| 9 | revolte - commencez - campagnes - oligarchie - oppositioncontrolee | 28 | 9_revolte_commencez_campagnes_oligarchie |
| 10 | siret - societes - republique - juridiques - illegitimes | 25 | 10_siret_societes_republique_juridiques |
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
- Task
- Text Classification
- Library
- bertopic
- Created
- Jan 13, 2025
- Updated
- Jan 13, 2025