Enhancing Positivity on Social Media: A Review of Offensive Comment Classification

Author:

Nalini C.,Maria Y. Agashia,Janarthanan T.,Manibharathi M.

Publisher

Springer Nature Switzerland

Reference26 articles.

1. Chakravarthi, B.R., et al.: Offensive language identification in Dravidian languages using MPNet and CNN. Int. J. Inform. Manage. Data Insights 3(1), 100140 (2023)

2. Dave, B., Bhat, S., Majumder, P.: IRNLP_DAIICT@ DravidianLangTech-EACL2021: offensive language identification in Dravidian languages using TF-IDF char n-grams and MuRIL. In: Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages (2021)

3. Aziz, N.A.A., Maarof, M.A., Zainal, A.: Hate speech and offensive language detection: a new feature set with filter-embedded combining feature selection. In: 2021 3rd International Cyber Resilience Conference (CRC) (2021)

4. William, P., et al.: Machine learning based automatic hate speech recognition system. In: 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2022)

5. Jarquín-Vásquez, H.J., Montes-y-Gómez, M., Villaseñor-Pineda, L.: Not all swear words are used equal: Attention over word n-grams for abusive language identification. In: Mexican Conference on Pattern Recognition (2020)

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