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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# MARTINI_enrich_BERTopic_chiefnerd |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("AIDA-UPM/MARTINI_enrich_BERTopic_chiefnerd") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 45 |
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* Number of training documents: 5779 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| -1 | vaccinated - pfizer - myocarditis - doctors - 2021 | 20 | -1_vaccinated_pfizer_myocarditis_doctors | |
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| 0 | twitter - censorship - musk - taibbi - shareholders | 2904 | 0_twitter_censorship_musk_taibbi | |
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| 1 | ukraine - kremlin - zelensky - sanctions - blinken | 249 | 1_ukraine_kremlin_zelensky_sanctions | |
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| 2 | trudeau - ottawa - convoy - alberta - freedom | 187 | 2_trudeau_ottawa_convoy_alberta | |
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| 3 | died - defibrillator - footballer - bronny - sudden | 156 | 3_died_defibrillator_footballer_bronny | |
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| 4 | rogan - misinformation - podcast - cnn - meidastouch | 132 | 4_rogan_misinformation_podcast_cnn | |
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| 5 | fauci - coronaviruses - bats - laboratory - pentagon | 130 | 5_fauci_coronaviruses_bats_laboratory | |
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| 6 | mandates - unvaccinated - hochul - repeal - medicare | 125 | 6_mandates_unvaccinated_hochul_repeal | |
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| 7 | maricopa - ballots - karrin - deputies - pelosi | 113 | 7_maricopa_ballots_karrin_deputies | |
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| 8 | rfk - undebatable - propagandists - snowden - debbie | 103 | 8_rfk_undebatable_propagandists_snowden | |
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| 9 | ford - tesla - electricity - fuels - prices | 102 | 9_ford_tesla_electricity_fuels | |
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| 10 | transgender - virginia - mandates - born - schools | 99 | 10_transgender_virginia_mandates_born | |
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| 11 | scammers - deleted - telegram - spamming - subscribers | 82 | 11_scammers_deleted_telegram_spamming | |
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| 12 | illegals - migrant - border - biden - dhs | 78 | 12_illegals_migrant_border_biden | |
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| 13 | pfizer - whistleblower - lawsuit - falsified - jackson | 77 | 13_pfizer_whistleblower_lawsuit_falsified | |
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| 14 | vaccinated - omicron - hospitalizations - contagious - israel | 67 | 14_vaccinated_omicron_hospitalizations_contagious | |
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| 15 | noaa - co2 - gmo - greenland - globalism | 67 | 15_noaa_co2_gmo_greenland | |
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| 16 | scotus - overturned - abortions - filibuster - voted | 64 | 16_scotus_overturned_abortions_filibuster | |
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| 17 | worldcouncilforhealth - doctors - mccullough - denying - malpractice | 64 | 17_worldcouncilforhealth_doctors_mccullough_denying | |
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| 18 | fdic - yellen - depositors - collapse - blackrock | 62 | 18_fdic_yellen_depositors_collapse | |
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| 19 | myocarditis - myopericarditis - troponin - electrocardiogram - vaccination | 62 | 19_myocarditis_myopericarditis_troponin_electrocardiogram | |
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| 20 | pfizer - booster - injections - ages - updated | 60 | 20_pfizer_booster_injections_ages | |
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| 21 | hydroxychloroquine - ivermectin - paxlovid - remdesivir - molnupiravir | 55 | 21_hydroxychloroquine_ivermectin_paxlovid_remdesivir | |
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| 22 | mortuaries - 2022 - matthews - insurers - increase | 53 | 22_mortuaries_2022_matthews_insurers | |
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| 23 | bidens - fbi - dailymail - hacked - zuckerberg | 50 | 23_bidens_fbi_dailymail_hacked | |
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| 24 | vaccinated - nfl - durant - mvp - kevin | 49 | 24_vaccinated_nfl_durant_mvp | |
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| 25 | gates - billion - epstein - pandemics - donation | 48 | 25_gates_billion_epstein_pandemics | |
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| 26 | thimerosal - immunizing - autism - rfk - shingles | 47 | 26_thimerosal_immunizing_autism_rfk | |
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| 27 | miscarriages - menstruators - pcos - diethylstilbestrol - hysterectomies | 40 | 27_miscarriages_menstruators_pcos_diethylstilbestrol | |
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| 28 | ufo - airship - missile - landed - pentagon | 37 | 28_ufo_airship_missile_landed | |
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| 29 | shootings - sheriff - murdered - manhunt - maine | 33 | 29_shootings_sheriff_murdered_manhunt | |
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| 30 | monkeypox - leishmaniasis - symptoms - pustules - ghebreyesus | 31 | 30_monkeypox_leishmaniasis_symptoms_pustules | |
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| 31 | hannity - tucker - nielsen - newscast - viewers | 31 | 31_hannity_tucker_nielsen_newscast | |
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| 32 | impeachment - donald - testifying - epstein - defendant | 30 | 32_impeachment_donald_testifying_epstein | |
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| 33 | immunogenic - mrna - exosomes - sars - phagocytes | 30 | 33_immunogenic_mrna_exosomes_sars | |
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| 34 | fbi - whistleblowers - prosecuting - wray - christopher | 28 | 34_fbi_whistleblowers_prosecuting_wray | |
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| 35 | pfizer - revenue - billion - injectable - 529 | 27 | 35_pfizer_revenue_billion_injectable | |
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| 36 | vaers - reported - doses - 049 - shingles | 26 | 36_vaers_reported_doses_049 | |
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| 37 | clotting - thrombocytopenia - heparin - complications - astrazeneca | 26 | 37_clotting_thrombocytopenia_heparin_complications | |
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| 38 | mayor - immigrants - bronx - hochul - shelters | 24 | 38_mayor_immigrants_bronx_hochul | |
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| 39 | superfund - ohio - hazardous - derailed - tanker | 24 | 39_superfund_ohio_hazardous_derailed | |
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| 40 | budweiser - distributors - mulvaney - lite - downgraded | 23 | 40_budweiser_distributors_mulvaney_lite | |
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| 41 | biden - pandemic - vaccinate - announce - coordinator | 22 | 41_biden_pandemic_vaccinate_announce | |
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| 42 | omicron - mutated - virulent - subvariants - genomic | 22 | 42_omicron_mutated_virulent_subvariants | |
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| 43 | cdc - walensky - director - advised - proclamations | 20 | 43_cdc_walensky_director_advised | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: True |
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* language: None |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: None |
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* seed_topic_list: None |
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* top_n_words: 10 |
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* verbose: False |
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* zeroshot_min_similarity: 0.7 |
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* zeroshot_topic_list: None |
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## Framework versions |
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* Numpy: 1.26.4 |
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* HDBSCAN: 0.8.40 |
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* UMAP: 0.5.7 |
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* Pandas: 2.2.3 |
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* Scikit-Learn: 1.5.2 |
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* Sentence-transformers: 3.3.1 |
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* Transformers: 4.46.3 |
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* Numba: 0.60.0 |
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* Plotly: 5.24.1 |
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* Python: 3.10.12 |
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