MARTINI_enrich_BERTopic_TheEndOfEverything1

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_TheEndOfEverything1")

topic_model.get_topic_info()

Topic overview

• Number of topics: 15
• Number of training documents: 1546

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	britain - globalist - migrants - bbc - conservative	20	-1_britain_globalist_migrants_bbc
0	millenniyule - december - poems - morgoth - chesterton	889	0_millenniyule_december_poems_morgoth
1	thames - locomotive - victorian - 1877 - winifred	103	1_thames_locomotive_victorian_1877
2	transgender - isms - subversive - become - gatekeepers	67	2_transgender_isms_subversive_become
3	zionists - netanyahu - mossad - gaza - goyim	63	3_zionists_netanyahu_mossad_gaza
4	police - islamophobia - whites - enforce - globohomo	56	4_police_islamophobia_whites_enforce
5	ukraine - putin - zelensky - propaganda - bolsheviks	49	5_ukraine_putin_zelensky_propaganda
6	lockdowns - bitchute - vaccinated - pfizer - misinformation	48	6_lockdowns_bitchute_vaccinated_pfizer
7	refugee - illegals - granted - millions - calais	46	7_refugee_illegals_granted_millions
8	rapist - migrant - kidnapped - algerians - nottingham	45	8_rapist_migrant_kidnapped_algerians
9	immigrants - blair - illegal - politics - voted	39	9_immigrants_blair_illegal_politics
10	towns - modernity - colonisation - wakefield - manchester	39	10_towns_modernity_colonisation_wakefield
11	astroturfed - thunberg - globalist - green - oligarchy	33	11_astroturfed_thunberg_globalist_green
12	tory - telegraph - propaganda - trotskyism - soros	27	12_tory_telegraph_propaganda_trotskyism
13	nazis - genocide - 1945 - wokeness - loewenstein	22	13_nazis_genocide_1945_wokeness

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