Model trained with SemEval 2019 Task 5: HatEval (SubTask B) corpus for Hate Speech detection in English. Base model is
BERTweet
, a RoBERTa model trained in English tweets.
It is a multi-classifier model, with the following classes:
HS
: is it hate speech?
TR
: is it targeted to a specific individual?
AG
: is it aggressive?
License
pysentimiento
is an open-source library for non-commercial use and scientific research purposes only. Please be aware that models are trained with third-party datasets and are subject to their respective licenses.
If you use this model in your work, please cite the following papers:
@misc{perez2021pysentimiento,
title={pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP tasks},
author={Juan Manuel Pérez and Juan Carlos Giudici and Franco Luque},
year={2021},
eprint={2106.09462},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
@inproceedings{nguyen2020bertweet,
title={BERTweet: A pre-trained language model for English Tweets},
author={Nguyen, Dat Quoc and Vu, Thanh and Nguyen, Anh Tuan},
booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
pages={9--14},
year={2020}
}
@inproceedings{basile2019semeval,
title={Semeval-2019 task 5: Multilingual detection of hate speech against immigrants and women in twitter},
author={Basile, Valerio and Bosco, Cristina and Fersini, Elisabetta and Nozza, Debora and Patti, Viviana and Pardo, Francisco Manuel Rangel and Rosso, Paolo and Sanguinetti, Manuela},
booktitle={Proceedings of the 13th international workshop on semantic evaluation},
pages={54--63},
year={2019}
}
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