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metadata
tags:
  - bertopic
library_name: bertopic
pipeline_tag: text-classification

MARTINI_enrich_BERTopic_DrPaulAlexander

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_DrPaulAlexander")

topic_model.get_topic_info()

Topic overview

  • Number of topics: 64
  • Number of training documents: 5766
Click here for an overview of all topics.
Topic ID Topic Keywords Topic Frequency Label
-1 unvaccinated - pfizer - lockdowns - injections - 2021 20 -1_unvaccinated_pfizer_lockdowns_injections
0 tranny - females - penises - vaginoplasty - dysphoria 2790 0_tranny_females_penises_vaginoplasty
1 fauci - deepstate - lockdowns - colluded - mengele 162 1_fauci_deepstate_lockdowns_colluded
2 mrna - biontech - injections - malone - inventors 143 2_mrna_biontech_injections_malone
3 pandemic - hoax - false - asymptomatic - never 125 3_pandemic_hoax_false_asymptomatic
4 monkeypox - hiv - gay - gonorrhoea - marburg 124 4_monkeypox_hiv_gay_gonorrhoea
5 zelensky - russia - volodymyr - missiles - kissinger 103 5_zelensky_russia_volodymyr_missiles
6 peters - drs - interviews - bellavia - maldonado 89 6_peters_drs_interviews_bellavia
7 myopericarditis - endomyocardial - vaccination - tamponade - mri 84 7_myopericarditis_endomyocardial_vaccination_tamponade
8 pilots - cockpit - plane - boeing - crashed 77 8_pilots_cockpit_plane_boeing
9 illegals - biden - invaded - jihadists - border 76 9_illegals_biden_invaded_jihadists
10 vaccination - thromboembolic - autoantibodies - vasculitis - c19 74 10_vaccination_thromboembolic_autoantibodies_vasculitis
11 trudeau - vaccinal - njoo - truckers - sharma 69 11_trudeau_vaccinal_njoo_truckers
12 remdesivir - midazolam - euthanasia - iatrogenic - ventilator 66 12_remdesivir_midazolam_euthanasia_iatrogenic
13 coronaviruses - wuhan - chimeric - 2020 - wiv 66 13_coronaviruses_wuhan_chimeric_2020
14 died - sudden - year - 44 - vandaelle 63 14_died_sudden_year_44
15 naomi - innoculations - bannon - dailyclout - genocidal 60 15_naomi_innoculations_bannon_dailyclout
16 islamists - wolf - bataclan - migrant - europe 58 16_islamists_wolf_bataclan_migrant
17 subvariants - omicron - clade - ba5 - dominant 57 17_subvariants_omicron_clade_ba5
18 immunization - pfizer - sids - shots - harmful 57 18_immunization_pfizer_sids_shots
19 shootings - officer - texas - dewitt - robbers 56 19_shootings_officer_texas_dewitt
20 maloney - breggins - lawsuit - oppenheimer - jane 56 20_maloney_breggins_lawsuit_oppenheimer
21 povidone - mouthwash - hypochlorite - nasal - ivermectin 53 21_povidone_mouthwash_hypochlorite_nasal
22 sarcoma - leukemias - glioblastoma - oncologist - rapid 50 22_sarcoma_leukemias_glioblastoma_oncologist
23 biden - republicans - mcconnell - teleprompter - midterms 49 23_biden_republicans_mcconnell_teleprompter
24 masks - toxic - cochrane - ineffectiveness - microplastic 47 24_masks_toxic_cochrane_ineffectiveness
25 deaths - vaccinated - eurostat - 2021 - kuhbandner 45 25_deaths_vaccinated_eurostat_2021
26 vaccinations - miscarriage - decidual - dysmenorrhea - diethylstilbestrol 43 26_vaccinations_miscarriage_decidual_dysmenorrhea
27 fluorofentanyl - carfentanil - xylazine - naloxone - overdose 39 27_fluorofentanyl_carfentanil_xylazine_naloxone
28 lockdowns - tiananmen - shanghai - xi - lunatic 39 28_lockdowns_tiananmen_shanghai_xi
29 omicron - vaccination - booster - hansen - subvariants 37 29_omicron_vaccination_booster_hansen
30 fbi - trump - raided - defund - politicized 37 30_fbi_trump_raided_defund
31 antibodies - naturally - reinfection - documented - sars 36 31_antibodies_naturally_reinfection_documented
32 harvard - plagiarized - claudine - zakaria - antisemite 34 32_harvard_plagiarized_claudine_zakaria
33 vaccinated - omicron - prophylaxis - nigeria - deaths 34 33_vaccinated_omicron_prophylaxis_nigeria
34 kennedy - kwiatkowski - prasad - mkultra - partisan 34 34_kennedy_kwiatkowski_prasad_mkultra
35 pfizer - deathvax - defrauded - ombudsman - bla 34 35_pfizer_deathvax_defrauded_ombudsman
36 bengals - myocarditis - cornerback - xfl - demarcus 33 36_bengals_myocarditis_cornerback_xfl
37 djokovic - champion - mcenroe - kelce - superbowl 33 37_djokovic_champion_mcenroe_kelce
38 nattokinase - detoxifier - spike - acetylcysteine - anticoagulant 32 38_nattokinase_detoxifier_spike_acetylcysteine
39 vaers - adenovirus - adverse - astrazeneca - pneumoniae 29 39_vaers_adenovirus_adverse_astrazeneca
40 mccullough - peter - investigator - cardiologist - tacit 28 40_mccullough_peter_investigator_cardiologist
41 trump - reelected - maddow - politicized - ramaswamy 28 41_trump_reelected_maddow_politicized
42 florida - surgeon - desantis - joe - walensky 27 42_florida_surgeon_desantis_joe
43 horsemen - apocalpse - plague - 33 - horrendous 27 43_horsemen_apocalpse_plague_33
44 omicron - bivalent - ba5 - updated - 2023 27 44_omicron_bivalent_ba5_updated
45 hamas - israeli - yehuda - pogrom - invaders 27 45_hamas_israeli_yehuda_pogrom
46 pedophiles - pope - scandalizing - corrupters - nuns 26 46_pedophiles_pope_scandalizing_corrupters
47 remdesivir - hydroxychloroquine - tamiflu - zanamivir - pharmacovigilance 26 47_remdesivir_hydroxychloroquine_tamiflu_zanamivir
48 inflation - biden - plummets - trillion - binance 25 48_inflation_biden_plummets_trillion
49 nagase - coulson - everybody - malhotra - stacks 24 49_nagase_coulson_everybody_malhotra
50 tribunals - hanged - jailed - punish - amnesty 24 50_tribunals_hanged_jailed_punish
51 ottawa - james - tomb - marched - veteran 23 51_ottawa_james_tomb_marched
52 fauci - virulent - evolve - injecting - chemoprophylaxis 23 52_fauci_virulent_evolve_injecting
53 semaglutide - ozempic - insulin - hypoglycemia - pancreatitis 23 53_semaglutide_ozempic_insulin_hypoglycemia
54 vaccinee - chemoprophylaxis - immunological - pediatricians - rennebohm 23 54_vaccinee_chemoprophylaxis_immunological_pediatricians
55 sars - antigens - sequelae - persistent - exosomes 23 55_sars_antigens_sequelae_persistent
56 twitter - musk - dorsey - zuckerberg - banned 23 56_twitter_musk_dorsey_zuckerberg
57 liposome - exosomes - nanoparticles - lnp - lymphocytes 22 57_liposome_exosomes_nanoparticles_lnp
58 amnesty - covidian - emma - wrongdoers - forgive 22 58_amnesty_covidian_emma_wrongdoers
59 vaccinating - maternal - pfizer - pertussis - neonates 22 59_vaccinating_maternal_pfizer_pertussis
60 endothelial - sars - sialylated - pathogenesis - hypercoagulation 20 60_endothelial_sars_sialylated_pathogenesis
61 biden - indicted - bribery - impeach - ukraine 20 61_biden_indicted_bribery_impeach
62 myopericarditis - pfizer - adolescent - ekg - thailand 20 62_myopericarditis_pfizer_adolescent_ekg

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