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AIDA-UPM/
MARTINI_enrich_BERTopic_covid19vaccinevictims

Name: MARTINI_enrich_BERTopic_covid19vaccinevictims
Availability: InStock

bertopic

text-classification

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MARTINI_enrich_BERTopic_covid19vaccinevictims

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:

python

from bertopic import BERTopic
topic_model = BERTopic.load("AIDA-UPM/MARTINI_enrich_BERTopic_covid19vaccinevictims")

topic_model.get_topic_info()

Topic overview

Number of topics: 46
Number of training documents: 5161

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	vaccinated - died - astrazeneca - dose - 2021	20	-1_vaccinated_died_astrazeneca_dose
0	died - guitarist - malek - rossington - 57	3160	0_died_guitarist_malek_rossington
1	rashes - pfizer - blisters - swollen - fever	167	1_rashes_pfizer_blisters_swollen
2	nsw - lockdown - queensland - unvaccinated - nazis	130	2_nsw_lockdown_queensland_unvaccinated
3	stillbirth - vaccinated - vaers - babies - pfizer	104	3_stillbirth_vaccinated_vaers_babies
4	ivermectin - paxlovid - hydroxychloroquine - penicillin - tylenol	82	4_ivermectin_paxlovid_hydroxychloroquine_penicillin
5	touchdown - yarbrough - cpr - collapsed - university	77	5_touchdown_yarbrough_cpr_collapsed
6	chinalockdown - pudong - zhengzhou - xinjiang - weibo	69	6_chinalockdown_pudong_zhengzhou_xinjiang
7	deputies - paramedic - sergeant - mcdaniel - shelby	58	7_deputies_paramedic_sergeant_mcdaniel
8	died - mum - bernadette - samantha - paramedics	56	8_died_mum_bernadette_samantha
9	trump - freedom - sponsored - coins - instagram	56	9_trump_freedom_sponsored_coins
10	vax - grandpa - coroner - dan - passed	56	10_vax_grandpa_coroner_dan
11	bloodclots - dvt - vaxhole - amputated - tammy	53	11_bloodclots_dvt_vaxhole_amputated
12	vaccinemandate - mandates - fema - nurses - hochul	50	12_vaccinemandate_mandates_fema_nurses
13	vaccines - vials - morgellons - filaments - nanoparticles	48	13_vaccines_vials_morgellons_filaments
14	monkeypox - fearporn - jynneos - stockpiled - spreader	44	14_monkeypox_fearporn_jynneos_stockpiled
15	gates - billionaires - newsmax - eugenicist - pneumovax	43	15_gates_billionaires_newsmax_eugenicist
16	vaccinate - consent - parental - gillick - objections	43	16_vaccinate_consent_parental_gillick
17	myocarditis - cardiologists - vaers - interventricular - injectable	43	17_myocarditis_cardiologists_vaers_interventricular
18	microclots - artery - formaldehyde - embalmer - vessels	41	18_microclots_artery_formaldehyde_embalmer
19	footballer - champions - merthyr - collapsed - palfreyman	41	19_footballer_champions_merthyr_collapsed
20	pfizer - mrna - 2020 - patented - nikolai	40	20_pfizer_mrna_2020_patented
21	unvaxed - paediatricians - worldcouncilforhealth - measles - mmr	38	21_unvaxed_paediatricians_worldcouncilforhealth_measles
22	trudeau - saskatchewan - unvaccinated - arrivecan - mandates	38	22_trudeau_saskatchewan_unvaccinated_arrivecan
23	deaths - excess - eurostat - disparities - 258	38	23_deaths_excess_eurostat_disparities
24	brca - mrna - cd8 - 53bp1 - monocytes	35	24_brca_mrna_cd8_53bp1
25	unvaxxed - gbnews - hospitalizations - jabbed - delta	35	25_unvaxxed_gbnews_hospitalizations_jabbed
26	vaccinated - cdc - mandates - walensky - nope	33	26_vaccinated_cdc_mandates_walensky
27	myocarditis - pfizer - lvad - symptoms - adverse	32	27_myocarditis_pfizer_lvad_symptoms
28	hiv - mbeki - tested - bioterrorism - false	30	28_hiv_mbeki_tested_bioterrorism
29	mkultra - illuminati - freemasons - subliminal - ebook	28	29_mkultra_illuminati_freemasons_subliminal
30	chongqing - qr - test - wechat - scanning	28	30_chongqing_qr_test_wechat
31	athletes - collapsing - nadal - ligue - dimitrov	27	31_athletes_collapsing_nadal_ligue
32	digitised - identity - cbdc - governments - wallet	27	32_digitised_identity_cbdc_governments
33	draghi - milan - campania - zelensky - sanctions	27	33_draghi_milan_campania_zelensky
34	guillain - paralysed - astrazeneca - sclerosis - neurophysiotherapy	27	34_guillain_paralysed_astrazeneca_sclerosis
35	globalists - billgates - wef - overview - nawaz	26	35_globalists_billgates_wef_overview
36	pfizer - killed - shots - 500 - whistleblower	26	36_pfizer_killed_shots_500
37	vaccinatd - dies - boy - 14 - jessica	25	37_vaccinatd_dies_boy_14
38	vaers - deaths - shingles - pericarditis - 949	24	38_vaers_deaths_shingles_pericarditis
39	diedsuddenlyworldwide - genocide - list - insane - phenomenon	24	39_diedsuddenlyworldwide_genocide_list_insane
40	schools - maskless - unvax - suspended - roanoke	24	40_schools_maskless_unvax_suspended
41	protests - passsanitaire - marseille - macron - banned	23	41_protests_passsanitaire_marseille_macron
42	fauci - republicans - randpaul - retires - subpoenaed	23	42_fauci_republicans_randpaul_retires
43	pfizerleak - sued - whistleblower - fraudulent - blackrock	21	43_pfizerleak_sued_whistleblower_fraudulent
44	tumours - lumpectomy - mum - kirsty - clydebank	21	44_tumours_lumpectomy_mum_kirsty

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