MARTINI_enrich_BERTopic_MissFreedomSeeker
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_MissFreedomSeeker")
topic_model.get_topic_info()
Topic overview
- Number of topics: 21
- Number of training documents: 2470
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | trump - god - fbi - christmas - flynn | 21 | -1_trump_god_fbi_christmas |
| 0 | president - trump - lincoln - liberty - states | 1352 | 0_president_trump_lincoln_liberty |
| 1 | trump - dubuque - tuesday - scheduled - 2023 | 310 | 1_trump_dubuque_tuesday_scheduled |
| 2 | missfreedom - blessings - goodnight - nkjv - sorry | 86 | 2_missfreedom_blessings_goodnight_nkjv |
| 3 | templars - freemasons - illuminati - mazzini - fasces | 79 | 3_templars_freemasons_illuminati_mazzini |
| 4 | alleluia - psalm - worship - praise - morning | 73 | 4_alleluia_psalm_worship_praise |
| 5 | blessed - salvation - grace - galatians - morning | 69 | 5_blessed_salvation_grace_galatians |
| 6 | telegram - shills - flynn - patriots - banned | 55 | 6_telegram_shills_flynn_patriots |
| 7 | psalm - blessed - supplications - afraid - omnipotent | 45 | 7_psalm_blessed_supplications_afraid |
| 8 | rothschild - illuminati - zionists - mossad - hitler | 42 | 8_rothschild_illuminati_zionists_mossad |
| 9 | romney - soros - clinton - mcdaniel - newsweek | 39 | 9_romney_soros_clinton_mcdaniel |
| 10 | lindell - breitbart - joe - militia - founder | 39 | 10_lindell_breitbart_joe_militia |
| 11 | replies - limbaugh - fireside - doug - hours | 36 | 11_replies_limbaugh_fireside_doug |
| 12 | lebron - nfl - illuminati - kardashian - brady | 35 | 12_lebron_nfl_illuminati_kardashian |
| 13 | prophets - revelations - biblical - nkjv - verses | 34 | 13_prophets_revelations_biblical_nkjv |
| 14 | trafficking - lawfare - philippines - satanic - desantis | 34 | 14_trafficking_lawfare_philippines_satanic |
| 15 | hallelujah - morning - coffee - philippians - fragrance | 27 | 15_hallelujah_morning_coffee_philippians |
| 16 | musk - 4childrescue - unsworth - sued - thailand | 27 | 16_musk_4childrescue_unsworth_sued |
| 17 | researching - links - bitchute - digs - points | 24 | 17_researching_links_bitchute_digs |
| 18 | dinosaurs - genesis - hoax - aliens - dewey | 22 | 18_dinosaurs_genesis_hoax_aliens |
| 19 | birthday - blesses - congratulations - donating - 71 | 21 | 19_birthday_blesses_congratulations_donating |
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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