MARTINI_enrich_BERTopic_TheTruthAboutCancer_Vaccines
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_TheTruthAboutCancer_Vaccines")
topic_model.get_topic_info()
Topic overview
- Number of topics: 12
- Number of training documents: 1350
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | trump - facebook - vaccines - satan - charlene | 20 | -1_trump_facebook_vaccines_satan |
| 0 | vaccine - fauci - deaths - shots - myocarditis | 579 | 0_vaccine_fauci_deaths_shots |
| 1 | salvation - jesus - ephesians - nuns - forgive | 197 | 1_salvation_jesus_ephesians_nuns |
| 2 | conspiracy - vaccine - eugenics - episode - uncensored | 110 | 2_conspiracy_vaccine_eugenics_episode |
| 3 | fbi - trump - antifa - rigged - indictment | 95 | 3_fbi_trump_antifa_rigged |
| 4 | thetruthaboutcancer - laetrile - chemotherapy - charlene - episodes | 93 | 4_thetruthaboutcancer_laetrile_chemotherapy_charlene |
| 5 | rogerstoneauction - bannon - thestevesanchezshow - faithless - zak | 64 | 5_rogerstoneauction_bannon_thestevesanchezshow_faithless |
| 6 | thetruthaboutcancer - disinformation - facebook - vaxx - banned | 54 | 6_thetruthaboutcancer_disinformation_facebook_vaxx |
| 7 | retweeting - followers - musk - lol - removed | 51 | 7_retweeting_followers_musk_lol |
| 8 | ttac - nashville - jackson - event - trump | 34 | 8_ttac_nashville_jackson_event |
| 9 | nowmike - adams - updates - podcast - texas | 30 | 9_nowmike_adams_updates_podcast |
| 10 | stonefamilyfund - nydia - cancer - roger - thankyoujesus | 23 | 10_stonefamilyfund_nydia_cancer_roger |
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
- -