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AIDA-UPM/
MARTINI_enrich_BERTopic_DrPaulMarik

Name: MARTINI_enrich_BERTopic_DrPaulMarik
Availability: InStock

bertopic

text-classification

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MARTINI_enrich_BERTopic_DrPaulMarik

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_DrPaulMarik")

topic_model.get_topic_info()

Topic overview

Number of topics: 18
Number of training documents: 1806

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	fauci - vaccinated - pfizer - injections - symptoms	21	-1_fauci_vaccinated_pfizer_injections
0	myocarditis - gardasil - died - incidence - nattokinase	1059	0_myocarditis_gardasil_died_incidence
1	novavax - paxlovid - vaccinated - reinfections - 2023	80	1_novavax_paxlovid_vaccinated_reinfections
2	deaths - dowd - 2022 - excess - millennials	80	2_deaths_dowd_2022_excess
3	fauci - fbi - wuhan - coronaviruses - bioweapons	77	3_fauci_fbi_wuhan_coronaviruses
4	ketogenic - supplements - dr_gazda - photobiomodulation - longcovid	61	4_ketogenic_supplements_dr_gazda_photobiomodulation
5	thimerosal - vaccinated - autism - diagnosed - cnn	55	5_thimerosal_vaccinated_autism_diagnosed
6	unvaccinated - mandates - lausd - exemptions - mask	55	6_unvaccinated_mandates_lausd_exemptions
7	modrna - plasmid - genetically - contaminated - microbiologist	53	7_modrna_plasmid_genetically_contaminated
8	vaccination - vaers - stillbirths - pfizer - placenta	42	8_vaccination_vaers_stillbirths_pfizer
9	wuhan - lockdowns - shenzhen - millions - riots	42	9_wuhan_lockdowns_shenzhen_millions
10	pandemic - wef - sovereignty - weaponize - cbdcs	37	10_pandemic_wef_sovereignty_weaponize
11	drpaulmarik - janjekielek - epochtvus - earlytreatment - darkhorsepod	29	11_drpaulmarik_janjekielek_epochtvus_earlytreatment
12	pfizer - adverse - falsehoods - rotavirus - mccullough	24	12_pfizer_adverse_falsehoods_rotavirus
13	billgates - bioterrorist - malthusian - bmgf - cepi	24	13_billgates_bioterrorist_malthusian_bmgf
14	fauci - censorship - misinformation - reclaimthenet - facebook	24	14_fauci_censorship_misinformation_reclaimthenet
15	ivermectin - hydroxychloroquine - penicillin - longvax - miracle	22	15_ivermectin_hydroxychloroquine_penicillin_longvax
16	remdesivir - ventilator - methylprednisolone - deadly - sedatives	21	16_remdesivir_ventilator_methylprednisolone_deadly

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