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MARTINI_enrich_BERTopic_joinmiFight
AIDA-UPM/MARTINI_enrich_BERTopic_joinmiFight
MARTINI_enrich_BERTopic_joinmiFight 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 14, 2025
- Updated
- Jan 14, 2025
- SHA
- fa41a371
Try a prompt
Model card
From the Hugging Face model README
MARTINI_enrich_BERTopic_joinmiFight
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_joinmiFight")
topic_model.get_topic_info()
Topic overview
- Number of topics: 9
- Number of training documents: 1033
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | pfizer - vaxx - bioweapons - biden - 2021 | 21 | -1_pfizer_vaxx_bioweapons_biden |
| 0 | god - trump - freedoms - unrighteousness - warmongers | 586 | 0_god_trump_freedoms_unrighteousness |
| 1 | vaccinated - pfizer - injections - hospitalizations - 2021 | 120 | 1_vaccinated_pfizer_injections_hospitalizations |
| 2 | vaccine - mrna - injections - nanotechnologies - dr | 70 | 2_vaccine_mrna_injections_nanotechnologies |
| 3 | transhumanism - darpa - neuralink - chatgpt - blinken | 60 | 3_transhumanism_darpa_neuralink_chatgpt |
| 4 | pfizer - biowarfare - dod - prosecuting - liability | 55 | 4_pfizer_biowarfare_dod_prosecuting |
| 5 | fauci - karen - whistleblower - livestream - mikovits | 51 | 5_fauci_karen_whistleblower_livestream |
| 6 | sars - bioweapons - vaccine - darpa - aerosolized | 38 | 6_sars_bioweapons_vaccine_darpa |
| 7 | fauci - sarscov - funded - wuhan - huff | 32 | 7_fauci_sarscov_funded_wuhan |
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 14, 2025
- Updated
- Jan 14, 2025