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Add BERTopic model
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metadata
tags:
  - bertopic
library_name: bertopic
pipeline_tag: text-classification

MARTINI_enrich_BERTopic_DrPaulMarik

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_DrPaulMarik")

topic_model.get_topic_info()

Topic overview

  • Number of topics: 18
  • Number of training documents: 1806
Click here for an overview of all topics.
Topic ID Topic Keywords Topic Frequency Label
-1 fauci - vaccinated - pfizer - injections - symptoms 21 -1_fauci_vaccinated_pfizer_injections
0 myocarditis - gardasil - died - incidence - nattokinase 1059 0_myocarditis_gardasil_died_incidence
1 novavax - paxlovid - vaccinated - reinfections - 2023 80 1_novavax_paxlovid_vaccinated_reinfections
2 deaths - dowd - 2022 - excess - millennials 80 2_deaths_dowd_2022_excess
3 fauci - fbi - wuhan - coronaviruses - bioweapons 77 3_fauci_fbi_wuhan_coronaviruses
4 ketogenic - supplements - dr_gazda - photobiomodulation - longcovid 61 4_ketogenic_supplements_dr_gazda_photobiomodulation
5 thimerosal - vaccinated - autism - diagnosed - cnn 55 5_thimerosal_vaccinated_autism_diagnosed
6 unvaccinated - mandates - lausd - exemptions - mask 55 6_unvaccinated_mandates_lausd_exemptions
7 modrna - plasmid - genetically - contaminated - microbiologist 53 7_modrna_plasmid_genetically_contaminated
8 vaccination - vaers - stillbirths - pfizer - placenta 42 8_vaccination_vaers_stillbirths_pfizer
9 wuhan - lockdowns - shenzhen - millions - riots 42 9_wuhan_lockdowns_shenzhen_millions
10 pandemic - wef - sovereignty - weaponize - cbdcs 37 10_pandemic_wef_sovereignty_weaponize
11 drpaulmarik - janjekielek - epochtvus - earlytreatment - darkhorsepod 29 11_drpaulmarik_janjekielek_epochtvus_earlytreatment
12 pfizer - adverse - falsehoods - rotavirus - mccullough 24 12_pfizer_adverse_falsehoods_rotavirus
13 billgates - bioterrorist - malthusian - bmgf - cepi 24 13_billgates_bioterrorist_malthusian_bmgf
14 fauci - censorship - misinformation - reclaimthenet - facebook 24 14_fauci_censorship_misinformation_reclaimthenet
15 ivermectin - hydroxychloroquine - penicillin - longvax - miracle 22 15_ivermectin_hydroxychloroquine_penicillin_longvax
16 remdesivir - ventilator - methylprednisolone - deadly - sedatives 21 16_remdesivir_ventilator_methylprednisolone_deadly

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