MARTINI_enrich_BERTopic_RealDonaldoTrumpo

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_RealDonaldoTrumpo")

topic_model.get_topic_info()

Topic overview

• Number of topics: 21
• Number of training documents: 1905

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	desantis - biden - everyone - bullshito - mike	21	-1_desantis_biden_everyone_bullshito
0	buenas - goodnight - patriotos - hugs - yourselfo	855	0_buenas_goodnight_patriotos_hugs
1	baracko - biden - joe - idiots - taliban	158	1_baracko_biden_joe_idiots
2	patrioti - liberta - italiani - france - brothers	99	2_patrioti_liberta_italiani_france
3	fauci - vaccinated - bullshito - shots - daszak	93	3_fauci_vaccinated_bullshito_shots
4	buenas - hugs - patriotos - familias - awesomest	93	4_buenas_hugs_patriotos_familias
5	buenos - fiestas - patrioto - vamonooooooooooooooooos - friday	65	5_buenos_fiestas_patrioto_vamonooooooooooooooooos
6	twittero - presidento - papitrumpo - jajajajajaja - gowokegobrokeyoupisoshitosis	59	6_twittero_presidento_papitrumpo_jajajajajaja
7	buenas - hugs - patriotos - tonight - owls	57	7_buenas_hugs_patriotos_tonight
8	ballots - fairfaxgop - democrats - rigged - county	49	8_ballots_fairfaxgop_democrats_rigged
9	vamonooooooooooooooooos - patriotas - congrats - mondayo - cubanos	40	9_vamonooooooooooooooooos_patriotas_congrats_mondayo
10	fiestaaaaaaaaaaaaaaaaa - buenas - patriotos - friday - thanksgiving	38	10_fiestaaaaaaaaaaaaaaaaa_buenas_patriotos_friday
11	kamala - immigrantes - stripper - hermanas - hyenas	37	11_kamala_immigrantes_stripper_hermanas
12	sundayo - patriotos - blessings - feliz - vamonooooooooooooooooos	37	12_sundayo_patriotos_blessings_feliz
13	brothers - prayers - hugs - firefighters - veteran	37	13_brothers_prayers_hugs_firefighters
14	pelosi - impeachment - subcommittee - january - nancy	32	14_pelosi_impeachment_subcommittee_january
15	trumpo - presidento - lol - lindell - mike	32	15_trumpo_presidento_lol_lindell
16	presidento - vamonooooos - ildonaldo - shitoposting - macarena	27	16_presidento_vamonooooos_ildonaldo_shitoposting
17	buenas - hugs - amigos - night - awesomenesso	27	17_buenas_hugs_amigos_night
18	patriot - goodness - night - friggin - everywhere	26	18_patriot_goodness_night_friggin
19	fbi - prosecutors - protests - sotomayor - corrupt	23	19_fbi_prosecutors_protests_sotomayor

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