MARTINI_enrich_BERTopic_chiefnerd
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_chiefnerd")
topic_model.get_topic_info()
Topic overview
- Number of topics: 45
- Number of training documents: 5779
Click here for an overview of all topics.
Topic ID | Topic Keywords | Topic Frequency | Label |
---|---|---|---|
-1 | vaccinated - pfizer - myocarditis - doctors - 2021 | 20 | -1_vaccinated_pfizer_myocarditis_doctors |
0 | twitter - censorship - musk - taibbi - shareholders | 2904 | 0_twitter_censorship_musk_taibbi |
1 | ukraine - kremlin - zelensky - sanctions - blinken | 249 | 1_ukraine_kremlin_zelensky_sanctions |
2 | trudeau - ottawa - convoy - alberta - freedom | 187 | 2_trudeau_ottawa_convoy_alberta |
3 | died - defibrillator - footballer - bronny - sudden | 156 | 3_died_defibrillator_footballer_bronny |
4 | rogan - misinformation - podcast - cnn - meidastouch | 132 | 4_rogan_misinformation_podcast_cnn |
5 | fauci - coronaviruses - bats - laboratory - pentagon | 130 | 5_fauci_coronaviruses_bats_laboratory |
6 | mandates - unvaccinated - hochul - repeal - medicare | 125 | 6_mandates_unvaccinated_hochul_repeal |
7 | maricopa - ballots - karrin - deputies - pelosi | 113 | 7_maricopa_ballots_karrin_deputies |
8 | rfk - undebatable - propagandists - snowden - debbie | 103 | 8_rfk_undebatable_propagandists_snowden |
9 | ford - tesla - electricity - fuels - prices | 102 | 9_ford_tesla_electricity_fuels |
10 | transgender - virginia - mandates - born - schools | 99 | 10_transgender_virginia_mandates_born |
11 | scammers - deleted - telegram - spamming - subscribers | 82 | 11_scammers_deleted_telegram_spamming |
12 | illegals - migrant - border - biden - dhs | 78 | 12_illegals_migrant_border_biden |
13 | pfizer - whistleblower - lawsuit - falsified - jackson | 77 | 13_pfizer_whistleblower_lawsuit_falsified |
14 | vaccinated - omicron - hospitalizations - contagious - israel | 67 | 14_vaccinated_omicron_hospitalizations_contagious |
15 | noaa - co2 - gmo - greenland - globalism | 67 | 15_noaa_co2_gmo_greenland |
16 | scotus - overturned - abortions - filibuster - voted | 64 | 16_scotus_overturned_abortions_filibuster |
17 | worldcouncilforhealth - doctors - mccullough - denying - malpractice | 64 | 17_worldcouncilforhealth_doctors_mccullough_denying |
18 | fdic - yellen - depositors - collapse - blackrock | 62 | 18_fdic_yellen_depositors_collapse |
19 | myocarditis - myopericarditis - troponin - electrocardiogram - vaccination | 62 | 19_myocarditis_myopericarditis_troponin_electrocardiogram |
20 | pfizer - booster - injections - ages - updated | 60 | 20_pfizer_booster_injections_ages |
21 | hydroxychloroquine - ivermectin - paxlovid - remdesivir - molnupiravir | 55 | 21_hydroxychloroquine_ivermectin_paxlovid_remdesivir |
22 | mortuaries - 2022 - matthews - insurers - increase | 53 | 22_mortuaries_2022_matthews_insurers |
23 | bidens - fbi - dailymail - hacked - zuckerberg | 50 | 23_bidens_fbi_dailymail_hacked |
24 | vaccinated - nfl - durant - mvp - kevin | 49 | 24_vaccinated_nfl_durant_mvp |
25 | gates - billion - epstein - pandemics - donation | 48 | 25_gates_billion_epstein_pandemics |
26 | thimerosal - immunizing - autism - rfk - shingles | 47 | 26_thimerosal_immunizing_autism_rfk |
27 | miscarriages - menstruators - pcos - diethylstilbestrol - hysterectomies | 40 | 27_miscarriages_menstruators_pcos_diethylstilbestrol |
28 | ufo - airship - missile - landed - pentagon | 37 | 28_ufo_airship_missile_landed |
29 | shootings - sheriff - murdered - manhunt - maine | 33 | 29_shootings_sheriff_murdered_manhunt |
30 | monkeypox - leishmaniasis - symptoms - pustules - ghebreyesus | 31 | 30_monkeypox_leishmaniasis_symptoms_pustules |
31 | hannity - tucker - nielsen - newscast - viewers | 31 | 31_hannity_tucker_nielsen_newscast |
32 | impeachment - donald - testifying - epstein - defendant | 30 | 32_impeachment_donald_testifying_epstein |
33 | immunogenic - mrna - exosomes - sars - phagocytes | 30 | 33_immunogenic_mrna_exosomes_sars |
34 | fbi - whistleblowers - prosecuting - wray - christopher | 28 | 34_fbi_whistleblowers_prosecuting_wray |
35 | pfizer - revenue - billion - injectable - 529 | 27 | 35_pfizer_revenue_billion_injectable |
36 | vaers - reported - doses - 049 - shingles | 26 | 36_vaers_reported_doses_049 |
37 | clotting - thrombocytopenia - heparin - complications - astrazeneca | 26 | 37_clotting_thrombocytopenia_heparin_complications |
38 | mayor - immigrants - bronx - hochul - shelters | 24 | 38_mayor_immigrants_bronx_hochul |
39 | superfund - ohio - hazardous - derailed - tanker | 24 | 39_superfund_ohio_hazardous_derailed |
40 | budweiser - distributors - mulvaney - lite - downgraded | 23 | 40_budweiser_distributors_mulvaney_lite |
41 | biden - pandemic - vaccinate - announce - coordinator | 22 | 41_biden_pandemic_vaccinate_announce |
42 | omicron - mutated - virulent - subvariants - genomic | 22 | 42_omicron_mutated_virulent_subvariants |
43 | cdc - walensky - director - advised - proclamations | 20 | 43_cdc_walensky_director_advised |
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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