MARTINI_enrich_BERTopic_FLCCC_Alliance
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_FLCCC_Alliance")
topic_model.get_topic_info()
Topic overview
- Number of topics: 36
- Number of training documents: 3143
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | fda - vaccine - doctors - marik - misinformation | 20 | -1_fda_vaccine_doctors_marik |
| 0 | crnas - supportflccc - letdoctorsbedoctors - tricia - supporters | 1493 | 0_crnas_supportflccc_letdoctorsbedoctors_tricia |
| 1 | ivermectin - molnupiravir - efficacy - zimbabwe - pharmacies | 141 | 1_ivermectin_molnupiravir_efficacy_zimbabwe |
| 2 | fauci - frontline - doctors - newsmax - widespread | 117 | 2_fauci_frontline_doctors_newsmax |
| 3 | physicians - conference - phoenix - february - 2024 | 100 | 3_physicians_conference_phoenix_february |
| 4 | vaccination - omicron - metformin - lactoferrin - fatigue | 95 | 4_vaccination_omicron_metformin_lactoferrin |
| 5 | physicians - marik - whistleblower - vaxx - podcast | 78 | 5_physicians_marik_whistleblower_vaxx |
| 6 | channels - telegram - followers - censorship - substack | 69 | 6_channels_telegram_followers_censorship |
| 7 | adaptogens - vitamin - kristina - livestreaming - endocrinologist | 67 | 7_adaptogens_vitamin_kristina_livestreaming |
| 8 | newscapsule - webinar - weekly - cdc - episodes | 66 | 8_newscapsule_webinar_weekly_cdc |
| 9 | oncologists - drbeen - webinar - marik - metabolic | 64 | 9_oncologists_drbeen_webinar_marik |
| 10 | immunizations - pediatrician - consent - rsv - informed | 62 | 10_immunizations_pediatrician_consent_rsv |
| 11 | worldcouncilforhealth - trialsite - welcome - africa - ngcakani | 52 | 11_worldcouncilforhealth_trialsite_welcome_africa |
| 12 | longcovid - conferences - microclots - hypofibrinolysis - amyloid | 45 | 12_longcovid_conferences_microclots_hypofibrinolysis |
| 13 | worldivermectinday - july - londonofficialworldwiderally - celebrating - 2021 | 44 | 13_worldivermectinday_july_londonofficialworldwiderally_celebrating |
| 14 | defeatthemandatesus - protest - livestream - california - april | 44 | 14_defeatthemandatesus_protest_livestream_california |
| 15 | antiviral - nurses - quercetin - honey - elderberry | 42 | 15_antiviral_nurses_quercetin_honey |
| 16 | mrna - vaccine - webinars - dangers - kevinmckernan | 42 | 16_mrna_vaccine_webinars_dangers |
| 17 | webinars - wednesday - hospital - streamed - registered | 41 | 17_webinars_wednesday_hospital_streamed |
| 18 | ivermectin - fda - kory - podcast - suppression | 41 | 18_ivermectin_fda_kory_podcast |
| 19 | vax - webinar - practitioners - lingering - tonight | 37 | 19_vax_webinar_practitioners_lingering |
| 20 | vaccination - symptoms - recover - trialsitenews - herpes | 37 | 20_vaccination_symptoms_recover_trialsitenews |
| 21 | texas - attendees - orlando - 28th - deadline | 33 | 21_texas_attendees_orlando_28th |
| 22 | picu - prophylactically - monoclonal - malaria - subglottic | 32 | 22_picu_prophylactically_monoclonal_malaria |
| 23 | paxlovid - webinar - tonight - marik - 2023 | 29 | 23_paxlovid_webinar_tonight_marik |
| 24 | ivermectinuk - budesonide - nebulizer - 12mg - suffered | 28 | 24_ivermectinuk_budesonide_nebulizer_12mg |
| 25 | fasting - neurologist - alzheimer - pradip - wednesday | 25 | 25_fasting_neurologist_alzheimer_pradip |
| 26 | treatable - pandemic - unvaccinated - prophylactic - florida | 25 | 26_treatable_pandemic_unvaccinated_prophylactic |
| 27 | ivm - fda - efficacy - article - kerr | 24 | 27_ivm_fda_efficacy_article |
| 28 | stories - recovered - email - fortherecord - hear | 23 | 28_stories_recovered_email_fortherecord |
| 29 | vaccine - veterans - colonel - mandates - crna | 22 | 29_vaccine_veterans_colonel_mandates |
| 30 | obstetrician - webinar - thorp - vaccines - clots | 21 | 30_obstetrician_webinar_thorp_vaccines |
| 31 | fauci - live - mccullough - january - 12pm | 21 | 31_fauci_live_mccullough_january |
| 32 | neurologists - spikopathy - neurotoxin - suzanne - aspartame | 21 | 32_neurologists_spikopathy_neurotoxin_suzanne |
| 33 | recovered - vaxxed - tuberculosis - james - thornton | 21 | 33_recovered_vaxxed_tuberculosis_james |
| 34 | thejimmydoreshow - kory - livestream - tomorrow - 6pm | 21 | 34_thejimmydoreshow_kory_livestream_tomorrow |
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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