MARTINI_enrich_BERTopic_mpeinovich

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_mpeinovich")

topic_model.get_topic_info()

Topic overview

• Number of topics: 24
• Number of training documents: 2433

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	zionist - palestinians - biden - whites - state	20	-1_zionist_palestinians_biden_whites
0	russians - zelensky - libtards - disinformation - nordstream	1233	0_russians_zelensky_libtards_disinformation
1	splc - njp - manifesto - supporters - milwaukee	120	1_splc_njp_manifesto_supporters
2	plaintiffs - charlottesville - mistrial - jurors - kessler	114	2_plaintiffs_charlottesville_mistrial_jurors
3	hamas - gaza - israelis - bombing - genocidal	104	3_hamas_gaza_israelis_bombing
4	patriotic - 7pm - dlive - radio - albion	96	4_patriotic_7pm_dlive_radio
5	zionist - muslims - refugees - lebanon - europe	64	5_zionist_muslims_refugees_lebanon
6	waukesha - media2rise - terrorist - investigation - darrell	63	6_waukesha_media2rise_terrorist_investigation
7	shootings - supremacist - whites - rampage - juneteenth	61	7_shootings_supremacist_whites_rampage
8	fbi - terrorists - informants - counterintelligence - satanist	59	8_fbi_terrorists_informants_counterintelligence
9	blacks - murders - acquitted - carjacking - arrest	51	9_blacks_murders_acquitted_carjacking
10	racists - conservatism - whiteness - semitism - trumps	49	10_racists_conservatism_whiteness_semitism
11	musk - twitter - censorship - banned - racism	47	11_musk_twitter_censorship_banned
12	auschwitz - denial - blinken - false - zyklon	45	12_auschwitz_denial_blinken_false
13	kanye - nigga - chappelle - nazis - rosenberg	43	13_kanye_nigga_chappelle_nazis
14	israel - wokeness - leftists - tucker - greenblatt	41	14_israel_wokeness_leftists_tucker
15	panel - genocidin - jussie - ds1150 - trannyfesto	41	15_panel_genocidin_jussie_ds1150
16	homosexuals - trannies - perverted - normie - legalizes	37	16_homosexuals_trannies_perverted_normie
17	unvaccinated - lockdowns - pfizer - employers - walmart	30	17_unvaccinated_lockdowns_pfizer_employers
18	republicans - trumpophilia - caucuses - fetterman - whites	26	18_republicans_trumpophilia_caucuses_fetterman
19	tfw - trolling - buttgoy - colorized - spiteful	26	19_tfw_trolling_buttgoy_colorized
20	taliban - airstrikes - netanyahu - sanctions - beirut	23	20_taliban_airstrikes_netanyahu_sanctions
21	zionists - exterminationists - palestine - exterminate - decolonization	20	21_zionists_exterminationists_palestine_exterminate
22	desantis - republican - restrictionist - rioters - illegal	20	22_desantis_republican_restrictionist_rioters

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