MARTINI_enrich_BERTopic_The_Zionist_Effect

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_Zionist_Effect")

topic_model.get_topic_info()

Topic overview

  • Number of topics: 13
  • Number of training documents: 1071
Click here for an overview of all topics.
Topic ID Topic Keywords Topic Frequency Label
-1 zionist - hitler - menorah - telegram - president 21 -1_zionist_hitler_menorah_telegram
0 hamas - israelis - genocide - killed - rachel 549 0_hamas_israelis_genocide_killed
1 vaxed - unvaccinated - pandemic - polio - fda 97 1_vaxed_unvaccinated_pandemic_polio
2 lmaooo - shit - ban - youtube - subscribers 76 2_lmaooo_shit_ban_youtube
3 holocaust - treblinka - nuremberg - zundel - revisionists 66 3_holocaust_treblinka_nuremberg_zundel
4 blacks - racism - looters - whitey - conservatives 46 4_blacks_racism_looters_whitey
5 hitler - nsdap - weimar - 1933 - persecuted 41 5_hitler_nsdap_weimar_1933
6 jews - semitism - aipac - conspiratorial - wwiii 40 6_jews_semitism_aipac_conspiratorial
7 lgbt - tranny - pedophiles - storytime - sexually 33 7_lgbt_tranny_pedophiles_storytime
8 zelensky - crimea - russians - jewry - solzhenitsyn 28 8_zelensky_crimea_russians_jewry
9 assassination - terrorists - wounded - sydney - shokhinjonn 26 9_assassination_terrorists_wounded_sydney
10 antisemitism - aipac - ashkenazi - greenblatt - defending 25 10_antisemitism_aipac_ashkenazi_greenblatt
11 censorship - australians - musk - facebook - provocateurs 23 11_censorship_australians_musk_facebook

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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