模型:
pysentimiento/bertweet-hate-speech
Repository: https://github.com/pysentimiento/pysentimiento/
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:
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} }
Enjoy! ?