MARTINI_enrich_BERTopic_The_Storm_Q17

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_The_Storm_Q17")

topic_model.get_topic_info()

Topic overview

• Number of topics: 22
• Number of training documents: 2402

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	fauci - freespeechparty - satanic - exposed - adrenochrome	20	-1_fauci_freespeechparty_satanic_exposed
0	biden - kamala - pentagon - sanctions - statehood	1533	0_biden_kamala_pentagon_sanctions
1	globalist - darpa - lockdowns - charles - organisations	100	1_globalist_darpa_lockdowns_charles
2	gmo - additives - fructose - overweight - mcdonalds	73	2_gmo_additives_fructose_overweight
3	freespeechparty - meme - messages - channel - impostor	71	3_freespeechparty_meme_messages_channel
4	tesla - 432hz - sodium - vibrations - pollution	60	4_tesla_432hz_sodium_vibrations
5	deaths - vaccinated - vaers - pfizer - miscarriage	57	5_deaths_vaccinated_vaers_pfizer
6	5g - latticehomeemfdefense - antennas - streetlights - dangers	56	6_5g_latticehomeemfdefense_antennas_streetlights
7	illuminati - prescient - olympic - opening - 1992	49	7_illuminati_prescient_olympic_opening
8	ballots - electors - georgia - clinton - mccain	46	8_ballots_electors_georgia_clinton
9	indoctrination - lgbtq - nambla - sexualisation - teachers	41	9_indoctrination_lgbtq_nambla_sexualisation
10	haarp - chemtrails - ionospheric - radars - hurricanes	34	10_haarp_chemtrails_ionospheric_radars
11	impeaching - republicans - donaldjtrumpteam - senators - mccarthy	33	11_impeaching_republicans_donaldjtrumpteam_senators
12	billgates - fauci - bioterrorism - hanged - clone	33	12_billgates_fauci_bioterrorism_hanged
13	vaccine - vaxx - convid - doctors - harmful	29	13_vaccine_vaxx_convid_doctors
14	trump - bongino - supporters - birthday - motorcade	28	14_trump_bongino_supporters_birthday
15	cures - orgone - tumor - holistic - berberine	26	15_cures_orgone_tumor_holistic
16	nypd - shooting - deputy - stabbed - bodycam	25	16_nypd_shooting_deputy_stabbed
17	clones - doppelganger - fake - natural_resemblance - disguise	24	17_clones_doppelganger_fake_natural_resemblance
18	fluoridated - colgate - chlorine - poison - faucet	22	18_fluoridated_colgate_chlorine_poison
19	ivermectin - hydroxychloroquine - discovered - beneficial - purehealth_glucotrust	22	19_ivermectin_hydroxychloroquine_discovered_beneficial
20	temples - civilization - monolith - myths - destroyed	20	20_temples_civilization_monolith_myths

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