MARTINI_enrich_BERTopic_DrMikeYeadon

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_DrMikeYeadon")

topic_model.get_topic_info()

Topic overview

• Number of topics: 20
• Number of training documents: 2367

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	vaccine - conspiracy - injected - everyone - gates	24	-1_vaccine_conspiracy_injected_everyone
0	bob - apologies - fyi - wishing - disinformation	1344	0_bob_apologies_fyi_wishing
1	pandemics - influenza - contagious - virus - pcr	193	1_pandemics_influenza_contagious_virus
2	vaccinated - deaths - myocarditis - astrazeneca - 2022	122	2_vaccinated_deaths_myocarditis_astrazeneca
3	vaccine - mrna - injected - omicron - toxic	78	3_vaccine_mrna_injected_omicron
4	co2 - temperatures - anthropogenic - scientists - glaciation	75	4_co2_temperatures_anthropogenic_scientists
5	vaccinations - unvaccinated - pertussis - paxlovid - infants	61	5_vaccinations_unvaccinated_pertussis_paxlovid
6	orwell - conspiracy - davos - depopulation - gatekeepers	55	6_orwell_conspiracy_davos_depopulation
7	pandemics - sovereignty - immunologically - icmra - regulations	46	7_pandemics_sovereignty_immunologically_icmra
8	hydroxychloroquine - remdesivir - ventilator - midazolam - azithromycin	45	8_hydroxychloroquine_remdesivir_ventilator_midazolam
9	vaccinations - contraceptive - hcg - stillbirths - pfizer	44	9_vaccinations_contraceptive_hcg_stillbirths
10	vaccination - biometric - passport - tyranny - mandatory	42	10_vaccination_biometric_passport_tyranny
11	fda - regulators - mra - unregulated - pharmacies	40	11_fda_regulators_mra_unregulated
12	globalists - democracy - erdogan - mayoral - arrests	33	12_globalists_democracy_erdogan_mayoral
13	fed - collateral - crisis - inflation - bonds	31	13_fed_collateral_crisis_inflation
14	yeadon - bigpharma - michael - scientist - doomsday	28	14_yeadon_bigpharma_michael_scientist
15	cashless - cbdcs - currencies - withdrawing - centralised	28	15_cashless_cbdcs_currencies_withdrawing
16	fuels - diesel - evs - emissions - engine	27	16_fuels_diesel_evs_emissions
17	parliamentarians - symposium - censored - recorded - croatia	26	17_parliamentarians_symposium_censored_recorded
18	doctors - psychiatrist - complicit - suicide - lunatic	25	18_doctors_psychiatrist_complicit_suicide

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