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AIDA-UPM/MARTINI_enrich_BERTopic_TruthIsStillHateSpeech
MARTINI_enrich_BERTopic_TruthIsStillHateSpeech is a text classification model from AIDA-UPM. Use it when you need a label for a piece of text. It is set up for bertopic.
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.
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From the Hugging Face model README
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.
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 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 |