MARTINI_enrich_BERTopic_FaithAndFolk2
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_FaithAndFolk2")
topic_model.get_topic_info()
Topic overview
- Number of topics: 12
- Number of training documents: 1015
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | jews - whites - semitic - amiatinus - nigger | 26 | -1_jews_whites_semitic_amiatinus |
| 0 | australians - commonwealth - jews - fascist - 1901 | 405 | 0_australians_commonwealth_jews_fascist |
| 1 | mommy - faggots - posts - jewish - fake | 163 | 1_mommy_faggots_posts_jewish |
| 2 | palestinians - hamas - gaza - hezbollah - netanyahu | 76 | 2_palestinians_hamas_gaza_hezbollah |
| 3 | caucasian - nonwhites - ancestors - cultures - egyptians | 75 | 3_caucasian_nonwhites_ancestors_cultures |
| 4 | langue - latine - francais - dialects - catalan | 49 | 4_langue_latine_francais_dialects |
| 5 | birthrates - eugenic - whites - stillbirth - apgar | 45 | 5_birthrates_eugenic_whites_stillbirth |
| 6 | hieroglyphs - paleolithic - artifacts - phoenicians - mausoleum | 42 | 6_hieroglyphs_paleolithic_artifacts_phoenicians |
| 7 | vulgate - gospels - psalms - codex - coptic | 38 | 7_vulgate_gospels_psalms_codex |
| 8 | hawkesbury - tasmania - pemulwuy - colonists - massacre | 34 | 8_hawkesbury_tasmania_pemulwuy_colonists |
| 9 | sandnigger - normie - lives - jackson - tommy | 31 | 9_sandnigger_normie_lives_jackson |
| 10 | kjv - godhead - trinitarianism - commandments - israelites | 31 | 10_kjv_godhead_trinitarianism_commandments |
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
- 4
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.