MARTINI_enrich_BERTopic_DrSimoneGold
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_DrSimoneGold")
topic_model.get_topic_info()
Topic overview
- Number of topics: 14
- Number of training documents: 1094
Click here for an overview of all topics.
Topic ID | Topic Keywords | Topic Frequency | Label |
---|---|---|---|
-1 | lockdowns - fda - vaccine - aflds - disinformation | 20 | -1_lockdowns_fda_vaccine_aflds |
0 | citizencorps - freedom - reawaken - aflds - live | 625 | 0_citizencorps_freedom_reawaken_aflds |
1 | unvaccinated - mandates - upheld - unconstitutional - nyc | 78 | 1_unvaccinated_mandates_upheld_unconstitutional |
2 | newsom - fda - ivermectin - lawsuit - vetoed | 53 | 2_newsom_fda_ivermectin_lawsuit |
3 | freedom - dissent - dictatorship - merry - protesters | 49 | 3_freedom_dissent_dictatorship_merry |
4 | pfizer - unvaccinated - regulatory - shots - disclose | 45 | 4_pfizer_unvaccinated_regulatory_shots |
5 | lockdowns - tyranny - mandated - ukraine - masked | 45 | 5_lockdowns_tyranny_mandated_ukraine |
6 | imprisonment - prosecuted - freedrgold - doj - misdemeanor | 38 | 6_imprisonment_prosecuted_freedrgold_doj |
7 | masks - skeptics - respiratory - dioxide - toxicity | 30 | 7_masks_skeptics_respiratory_dioxide |
8 | vaccine - pfizer - toddlers - shots - c19 | 25 | 8_vaccine_pfizer_toddlers_shots |
9 | arrestfauci - ebola - accusations - investigated - kickbacks | 23 | 9_arrestfauci_ebola_accusations_investigated |
10 | frontlineflash_ - unvaxxed - presented - maddow - fearless | 22 | 10_frontlineflash__unvaxxed_presented_maddow |
11 | doctor - pharma - communism - revolutionizing - epidemic | 21 | 11_doctor_pharma_communism_revolutionizing |
12 | simone - honored - freedom - flynn - congressman | 20 | 12_simone_honored_freedom_flynn |
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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