Automatic hate speech detection using aspect based feature extraction and Bi-LSTM model

Author:

Kothuru SrinivasuluORCID,Santhanavijayan A.

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Reference17 articles.

1. Akhter MP, Jiangbin Z, Naqvi IR, Abdelmajeed M, Sadiq MT (2020) Automatic Detection of Offensive Language for Urdu and Roman Urdu. IEEE Access 8:91213–91226. DOI: https://doi.org/10.1109/ACCESS.2020.2994950

2. Beddiar DR, Jahan MS, Oussalah M (2021) Data expansion using back translation and paraphrasing for hate speech detection. Online Social Networks and Media 24:100153. https://doi.org/10.1016/j.osnem.2021.100153

3. El-Alami FZ, El Alaoui SO, Nahnahi NE (2021) A multilingual offensive language detection method based on transfer learning from transformer fine-tuning model.Journal of King Saud University-Computer and Information Sciences

4. Ghanghor N, Krishnamurthy P, Thavareesan S, Priyadharshini R, Chakravarthi BR (2021) IIITK@ DravidianLangTech-EACL2021: Offensive Language Identification and Meme Classification in Tamil, Malayalam and Kannada. In Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages, Association for Computational Linguistics, Kyiv, 222–229

5. Hande A, Priyadharshini R, Chakravarthi BR (2020) KanCMD: Kannada CodeMixed Dataset for Sentiment Analysis and Offensive Language Detection. In Proceedings of the Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotion’s in Social Media, Barcelona, Spain (Online), Association for Computational Linguistics [publisher], 54–63

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