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
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