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AIDA-UPM/
MARTINI_enrich_BERTopic_varlinas

Name: MARTINI_enrich_BERTopic_varlinas
Availability: InStock

bertopic

text-classification

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MARTINI_enrich_BERTopic_varlinas

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_varlinas")

topic_model.get_topic_info()

Topic overview

Number of topics: 35
Number of training documents: 4383

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	biden - trump - vaxxed - states - everything	20	-1_biden_trump_vaxxed_states
0	donetsk - mariupol - russia - ukrainians - zelensky	2605	0_donetsk_mariupol_russia_ukrainians
1	pasveikinti - niekada - susiklausymo - rytas - metu	166	1_pasveikinti_niekada_susiklausymo_rytas
2	hs1jq13jv6 - anonymous - 9129529 - ww - 1f0a66	144	2_hs1jq13jv6_anonymous_9129529_ww
3	countdown - boom - gematria - djt - 11th	114	3_countdown_boom_gematria_djt
4	pfizer - vaccinated - covid - vaers - antibodies	110	4_pfizer_vaccinated_covid_vaers
5	lietuva - jankevicius - kgb - sovietu - landzbergiu	106	5_lietuva_jankevicius_kgb_sovietu
6	awakening - spiritual - righteousness - yehovah - greatness	86	6_awakening_spiritual_righteousness_yehovah
7	twitter - parler - trump - starlink - banned	86	7_twitter_parler_trump_starlink
8	нет - белоруссии - ростова - минобороны - солдат	83	8_нет_белоруссии_ростова_минобороны
9	epstein - trafficked - ghislaine - pedophiles - clinton	64	9_epstein_trafficked_ghislaine_pedophiles
10	petrodollar - greenback - federal - cryptocurrencies - cbdcs	52	10_petrodollar_greenback_federal_cryptocurrencies
11	youtube - musutv - bukimevieningi - platformoje - transliacija	52	11_youtube_musutv_bukimevieningi_platformoje
12	ballots - recount - maricopa - counties - senate	47	12_ballots_recount_maricopa_counties
13	trumpas - prezidentui - bidenas - konstitucija - igaliojimus	47	13_trumpas_prezidentui_bidenas_konstitucija
14	infekcijas - yersinia - staphylococcus - listeria - monocytogenes	46	14_infekcijas_yersinia_staphylococcus_listeria
15	military - trump - coups - washington - united	45	15_military_trump_coups_washington
16	spygate - dossier - dnc - subpoenas - fisa	39	16_spygate_dossier_dnc_subpoenas
17	globalists - guterres - crises - nwo - klaus	35	17_globalists_guterres_crises_nwo
18	komunistiniai - konservatyvizmas - nepasitikiu - konspiracininkus - kazachstana	33	18_komunistiniai_konservatyvizmas_nepasitikiu_konspiracininkus
19	bioweapon - ukraine - disinformation - soros - pentagon	32	19_bioweapon_ukraine_disinformation_soros
20	wuhan - pyongyang - lockdowns - pudong - typhoon	30	20_wuhan_pyongyang_lockdowns_pudong
21	jairbolsonaro - 38presidente - santos - bolivia - argentinean	29	21_jairbolsonaro_38presidente_santos_bolivia
22	hydroxychloroquine - molnupiravir - ivermectin - vaxx - antioxidant	29	22_hydroxychloroquine_molnupiravir_ivermectin_vaxx
23	trump - doj - unredacted - subpoena - martha	29	23_trump_doj_unredacted_subpoena
24	transgenderism - gay - rupaul - psychopaths - cyborgs	29	24_transgenderism_gay_rupaul_psychopaths
25	gendarmerie - paris - protesters - strike - marched	28	25_gendarmerie_paris_protesters_strike
26	satan - luciferian - baal - blavatsky - cronus	27	26_satan_luciferian_baal_blavatsky
27	trump - impeachment - comey - defrauded - swalwell	27	27_trump_impeachment_comey_defrauded
28	trump - tippytoppatriot - dow - savior - highest	26	28_trump_tippytoppatriot_dow_savior
29	gazprom - eurozone - sanctions - rubles - preussenelektra	24	29_gazprom_eurozone_sanctions_rubles
30	biden - unmasked - lectern - cpap - brandon	24	30_biden_unmasked_lectern_cpap
31	pyramids - antarctica - monastery - chimney - smithsonian	24	31_pyramids_antarctica_monastery_chimney
32	ketvergiai - laisva - susisiekti - pasivaikscioti - prisideti	23	32_ketvergiai_laisva_susisiekti_pasivaikscioti
33	zuckerberg - metaverse - meghan - fakebook - clownsnewsnetwork	22	33_zuckerberg_metaverse_meghan_fakebook

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