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