MARTINI_enrich_BERTopic_TruthIsStillHateSpeech

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_TruthIsStillHateSpeech")

topic_model.get_topic_info()

Topic overview

Number of topics: 10
Number of training documents: 820

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	jews - whites - racist - diversity - russia	20	-1_jews_whites_racist_diversity
0	antisemitism - jew - mossad - lbj - victims	418	0_antisemitism_jew_mossad_lbj
1	racism - whites - supremacy - globohomo - republican	87	1_racism_whites_supremacy_globohomo
2	lgbtq - pedophile - fundamentalism - california - satanic	73	2_lgbtq_pedophile_fundamentalism_california
3	technocracy - vaxxed - plandemic - conspiracy - china	57	3_technocracy_vaxxed_plandemic_conspiracy
4	britons - whites - colonisation - wales - populations	45	4_britons_whites_colonisation_wales
5	rapist - muslims - riots - abused - leicester	38	5_rapist_muslims_riots_abused
6	zelenskyy - ukrainians - crimea - volodymyr - holocaust	34	6_zelenskyy_ukrainians_crimea_volodymyr
7	hitler - nationalsozialistiche - comrades - 1936 - chapter	24	7_hitler_nationalsozialistiche_comrades_1936
8	zionist - refugees - jewry - multiculturalism - hias	24	8_zionist_refugees_jewry_multiculturalism

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