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
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