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English Information

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Authors
# Name
1 Iago Aragão(iago.aragao@ufpi.edu.br)
2 Gabrielly Gomes(gabrielly.gomes@ufpi.edu.br)
3 Patricia Drumond(patriciamedyna@ufpi.edu.br)

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Reference
# Reference
1 Davidson, T., Warmsley, D., Macy, M. and Weber, I. (2017). Automated Hate Speech Detection and the Problem of Offensive Language. In Proceedings of the International AAAI Conference on Web and Social Media.
2 Fortuna, P. and Nunes, S. (2018). A Survey on Automatic Detection of Hate Speech in Text. ACM Computing Surveys, 51(4), pages 1-30.
3 Devlin, J., Chang, M.-W., Lee, K. and Toutanova, K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of NAACL-HLT.
4 Leite, J. A., Silva, D. F., Bontcheva, K. and Scarton, C. (2020). Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis. In Proceedings of AACL-IJCNLP, pages 914-924.
5 Nobata, C., Tetreault, J., Thomas, A., Mehdad, Y. and Chang, Y. (2016). Abusive Language Detection in Online User Content. In Proceedings of the 25th International Conference on World Wide Web.
6 Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M. and Duchesnay, E. (2011). Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 12, pages 2825-2830.
7 Vargas, F. A., Carvalho, I., Rodrigues de Góes, F., Pardo, T. A. S. and Benevenuto, F. (2022). HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection. In Proceedings of LREC, pages 7174-7183.
8 Wang, S. and Manning, C. D. (2012). Baselines and Bigrams: Simple, Good Sentiment and Topic Classification. In Proceedings of ACL.