MARTINI_enrich_BERTopic_GeorgeWebb

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_GeorgeWebb")

topic_model.get_topic_info()

Topic overview

• Number of topics: 45
• Number of training documents: 5241

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	remdesivir - pfizer - 2020 - substackcdn - ukraine	20	-1_remdesivir_pfizer_2020_substackcdn
0	housatoniclive - bitchute - youtube - fauci - quanrud	3012	0_housatoniclive_bitchute_youtube_fauci
1	thebiden - blackberry - investigators - cooney - subpoena	144	1_thebiden_blackberry_investigators_cooney
2	journos - wapo - tweet - liberal - sentinel	137	2_journos_wapo_tweet_liberal
3	anthrax - rumsfeld - qanon - vaccine - bombings	124	3_anthrax_rumsfeld_qanon_vaccine
4	malone - bannon - vaccine - robert - retweeting	123	4_malone_bannon_vaccine_robert
5	trump - doj - kasowitz - unredacted - informant	106	5_trump_doj_kasowitz_unredacted
6	webinar - weibo - live - newswoman - channel	81	6_webinar_weibo_live_newswoman
7	informants - superpac - voting - conroe - hecker	78	7_informants_superpac_voting_conroe
8	tracy - operating - youtube - cuomo - 3mnbwxudjff9uokvr5ysj1sovv8fjr8nqw	78	8_tracy_operating_youtube_cuomo
9	wuhan - corinavirus - blackwater - superspreader - september	73	9_wuhan_corinavirus_blackwater_superspreader
10	nazis - kissinger - schmidt - davos - swiss	68	10_nazis_kissinger_schmidt_davos
11	h5n1 - fouchier - sars - transmissibility - xmrvs	68	11_h5n1_fouchier_sars_transmissibility
12	mcdufflivestwo - oloughlin - thelaroucheorganization - neighborhoodnewsstudio - nixon	64	12_mcdufflivestwo_oloughlin_thelaroucheorganization_neighborhoodnewsstudio
13	webbs - livestream - rumble - joined - dissidents	59	13_webbs_livestream_rumble_joined
14	neighborhoodnewsstudio - corona - bitchute - websites - channels	56	14_neighborhoodnewsstudio_corona_bitchute_websites
15	dnc - substackcdn - kissinger - orange - anthrax	56	15_dnc_substackcdn_kissinger_orange
16	coronavirus - wuhan - cnn - virginia - 2020	56	16_coronavirus_wuhan_cnn_virginia
17	nordstream - kherson - kissinger - popodopoulos - venetian	47	17_nordstream_kherson_kissinger_popodopoulos
18	bioweapons - ukraine - kirillov - putin - pentagon	45	18_bioweapons_ukraine_kirillov_putin
19	mcdufflivestwo - mindfields - dictators - yandell - thornton	45	19_mcdufflivestwo_mindfields_dictators_yandell
20	azov - putin - kosovo - hostage - mujahideen	43	20_azov_putin_kosovo_hostage
21	mcdufflivestwo - wednesday - underdown - youtube - housatonicits	41	21_mcdufflivestwo_wednesday_underdown_youtube
22	cnn - jeff - vigilante - smeared - misrepresentations	39	22_cnn_jeff_vigilante_smeared
23	coronavirusmcnutt - wuhan - webinar - huff - zoonotic	33	23_coronavirusmcnutt_wuhan_webinar_huff
24	fbi - informants - milley - arrested - january	31	24_fbi_informants_milley_arrested
25	news - nnhour - brandnewtube - bitchute - adds	31	25_news_nnhour_brandnewtube_bitchute
26	electrocardiogram - myocarditis - mcg - tetralogy - screened	31	26_electrocardiogram_myocarditis_mcg_tetralogy
27	remdesivir - hydroxychloroquine - tamiflu - alabama - famotadine	31	27_remdesivir_hydroxychloroquine_tamiflu_alabama
28	malone - robert - ivermectin - vaccine - darpa	31	28_malone_robert_ivermectin_vaccine
29	dealey - lbj - kennedy - connally - texas	31	29_dealey_lbj_kennedy_connally
30	petraeus - clinton - kosovo - covert - 2fbucketeer	30	30_petraeus_clinton_kosovo_covert
31	mcdufflivestwo - chat - youtube - fogarty - 2022	30	31_mcdufflivestwo_chat_youtube_fogarty
32	pfizerorgchart - whistleblower - jordan - mckenzie - oswaldo	29	32_pfizerorgchart_whistleblower_jordan_mckenzie
33	virologist - benassi - stuxnet - nanjing - nanoferretin	28	33_virologist_benassi_stuxnet_nanjing
34	transnistria - ukrainians - skynews - krakow - nawaz	28	34_transnistria_ukrainians_skynews_krakow
35	corona - live - telegram - sweigert - darpa	26	35_corona_live_telegram_sweigert
36	giuseppe - pope - libya - spying - tiabbi	26	36_giuseppe_pope_libya_spying
37	hpv - turbocancer - telomerase - hauptman - p53s	26	37_hpv_turbocancer_telomerase_hauptman
38	pfizerorg - glaxo - remdesivir - kellor - whitepaper	24	38_pfizerorg_glaxo_remdesivir_kellor
39	russiagate - doxxing - ssassin - suppressed - hale	24	39_russiagate_doxxing_ssassin_suppressed
40	mcduff - neighborhoodnewsstudio - hamamamoto - youtube - screamingospreys	24	40_mcduff_neighborhoodnewsstudio_hamamamoto_youtube
41	zelensky - mariupol - oligarchs - kolomoisky - billion	22	41_zelensky_mariupol_oligarchs_kolomoisky
42	journos - webinar - peter - duke - monaghan	21	42_journos_webinar_peter_duke
43	skripal - gubarev - steele - manafort - dossier	21	43_skripal_gubarev_steele_manafort

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