MARTINI_enrich_BERTopic_bagelsandshadeshow
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_bagelsandshadeshow")
topic_model.get_topic_info()
Topic overview
- Number of topics: 10
- Number of training documents: 1134
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | trump - israel - covid - beast - test | 22 | -1_trump_israel_covid_beast |
| 0 | luciferians - antichrist - satanic - baal - savior | 499 | 0_luciferians_antichrist_satanic_baal |
| 1 | fires - explosion - evacuated - propane - louisiana | 146 | 1_fires_explosion_evacuated_propane |
| 2 | vaccinated - pfizer - shots - myocarditis - lethal | 121 | 2_vaccinated_pfizer_shots_myocarditis |
| 3 | floods - torrential - thunderstorms - sandstorm - mecca | 120 | 3_floods_torrential_thunderstorms_sandstorm |
| 4 | conspiracy - everything - seizing - manipulated - crash | 66 | 4_conspiracy_everything_seizing_manipulated |
| 5 | cashless - cbdc - mastercard - citizens - currencies | 56 | 5_cashless_cbdc_mastercard_citizens |
| 6 | trafficked - pedophiles - hotline - survivors - shay | 48 | 6_trafficked_pedophiles_hotline_survivors |
| 7 | holograms - haarp - luciferans - activated - satellites | 32 | 7_holograms_haarp_luciferans_activated |
| 8 | gunshots - rioting - officers - columbus - victim | 24 | 8_gunshots_rioting_officers_columbus |
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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