MARTINI_enrich_BERTopic_TruthHammer
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_TruthHammer")
topic_model.get_topic_info()
Topic overview
- Number of topics: 18
- Number of training documents: 1748
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | biden - fbi - military - truth - flynn | 25 | -1_biden_fbi_military_truth |
| 0 | ballots - falsified - georgia - raffensperger - audit | 976 | 0_ballots_falsified_georgia_raffensperger |
| 1 | globalists - illuminati - fauci - news - hearst | 107 | 1_globalists_illuminati_fauci_news |
| 2 | truthhammer - haha - bitches - hopefully - scammers | 86 | 2_truthhammer_haha_bitches_hopefully |
| 3 | twitter - musk - carlson - censorship - revealed | 74 | 3_twitter_musk_carlson_censorship |
| 4 | transphobia - pervert - backlash - terrorists - liberal | 64 | 4_transphobia_pervert_backlash_terrorists |
| 5 | god - prayers - miracles - freedom - lucifer | 50 | 5_god_prayers_miracles_freedom |
| 6 | donald - speaker - mccarthy - jim - meme | 43 | 6_donald_speaker_mccarthy_jim |
| 7 | desantis - ronnie - desanctimonious - loser - nominee | 42 | 7_desantis_ronnie_desanctimonious_loser |
| 8 | perjury - indicted - pelosi - j6 - footage | 39 | 8_perjury_indicted_pelosi_j6 |
| 9 | rfk - democrats - bernie - bannon - potentially | 35 | 9_rfk_democrats_bernie_bannon |
| 10 | doj - prosecutions - durham - whatchagonnadoaboutit - unsubstantiated | 33 | 10_doj_prosecutions_durham_whatchagonnadoaboutit |
| 11 | fakemocracy - president - amendments - tucker - polk | 32 | 11_fakemocracy_president_amendments_tucker |
| 12 | hamas - gaza - israeli - atrocities - civilians | 31 | 12_hamas_gaza_israeli_atrocities |
| 13 | ukraine - zelensky - kakhovka - sabotaged - headlines | 30 | 13_ukraine_zelensky_kakhovka_sabotaged |
| 14 | biden - whistleblower - bribery - investigations - ukraine | 27 | 14_biden_whistleblower_bribery_investigations |
| 15 | nani - lahaina - governor - sister - oprah | 27 | 15_nani_lahaina_governor_sister |
| 16 | truthhammershop - shirts - mug - order - honduras | 27 | 16_truthhammershop_shirts_mug_order |
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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