MARTINI_enrich_BERTopic_coronapsyopscam

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_coronapsyopscam")

topic_model.get_topic_info()

Topic overview

• Number of topics: 32
• Number of training documents: 3717

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	vaccinated - pfizer - nhs - shots - deaths	21	-1_vaccinated_pfizer_nhs_shots
0	lockdown - deepstate - misinformation - saveusnow - instagram	1992	0_lockdown_deepstate_misinformation_saveusnow
1	vaccinated - mrna - injection - clots - glycoprotein	123	1_vaccinated_mrna_injection_clots
2	vaccination - consent - employers - nhs - mandatory	107	2_vaccination_consent_employers_nhs
3	masks - respirator - influenza - studies - resist	103	3_masks_respirator_influenza_studies
4	glutathione - detoxifier - quercetin - hydroxychloroquine - worldivermectinday	97	4_glutathione_detoxifier_quercetin_hydroxychloroquine
5	monkeypox - orthopoxvirus - outbreaks - marburg - guinea	96	5_monkeypox_orthopoxvirus_outbreaks_marburg
6	pseudopandemic - globalist - britain - influenza - agenda	81	6_pseudopandemic_globalist_britain_influenza
7	pfizer - deathvax - whistleblower - falsified - trials	78	7_pfizer_deathvax_whistleblower_falsified
8	doctors - frontlineflash - corona - liberty - simone	76	8_doctors_frontlineflash_corona_liberty
9	ncov - influenza - virologists - swabs - false	73	9_ncov_influenza_virologists_swabs
10	pfizer - miscarriages - inoculated - placenta - 125742_s1_m5_crf_c4591001	71	10_pfizer_miscarriages_inoculated_placenta
11	vaccination - fda - pupils - consent - mandates	62	11_vaccination_fda_pupils_consent
12	vaers - fatalities - 2021 - yellowcard - anaphylaxis	62	12_vaers_fatalities_2021_yellowcard
13	athletes - fainted - dies - offaly - 29	60	13_athletes_fainted_dies_offaly
14	worldwidedemonstration - australiafreedomrally - londonofficialworldwiderally - wales - www	54	14_worldwidedemonstration_australiafreedomrally_londonofficialworldwiderally_wales
15	parliament - bbc - portcullis - invited - disinformation	53	15_parliament_bbc_portcullis_invited
16	unvaxxed - deadliest - hospitalisations - jabbed - england	51	16_unvaxxed_deadliest_hospitalisations_jabbed
17	omicron - unvaccinated - antibodies - reinfection - nucleocapsid	44	17_omicron_unvaccinated_antibodies_reinfection
18	lockdown - china - guangzhou - malaysia - drone	43	18_lockdown_china_guangzhou_malaysia
19	fauci - paxlovid - vaccinated - joe - symptoms	43	19_fauci_paxlovid_vaccinated_joe
20	vaxxer - mandemic - mmr - whitehouse - oneinfochannel	41	20_vaxxer_mandemic_mmr_whitehouse
21	mariupol - bioweapons - militants - pentagon - slavyangrad	38	21_mariupol_bioweapons_militants_pentagon
22	germany - lockdown - gestapo - protesting - braunschweig	37	22_germany_lockdown_gestapo_protesting
23	trudeau - unjabbed - alberta - truckers - arrivecan	34	23_trudeau_unjabbed_alberta_truckers
24	fauci - untruths - blackout - openthebooks - maniac	32	24_fauci_untruths_blackout_openthebooks
25	webb - george - bioweapons - marburg - photojournalist	27	25_webb_george_bioweapons_marburg
26	corona - channels - dlive - zelenko - rwmalonemd	27	26_corona_channels_dlive_zelenko
27	myocarditis - novavax - ecg - demyelinating - transthyretin	26	27_myocarditis_novavax_ecg_demyelinating
28	australia - arrested - fines - protesters - vaxnot	22	28_australia_arrested_fines_protesters
29	midazolam - euthanasiert - mord - pcp - komorbiditaten	22	29_midazolam_euthanasiert_mord_pcp
30	covidvaccinevictims - died - embolism - suddenly - kimberley	21	30_covidvaccinevictims_died_embolism_suddenly

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