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Social media platforms are used by a large number of people prominently to express their thoughts and opinions.
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Joshi, R., Karnavat, R., Jirapure, K., Joshi, R.: Evaluation of deep learning models for hostility detection in hindi text. 2021 6th International Conference for Convergence in Technology (I2CT) (Apr 2021). https://doi.org/10.1109/i2ct51068.2021.9418073, http://dx.doi.org/10.1109/I2CT51068.2021.9418073
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Corazza, M., Menini, S., Cabrio, E., Tonelli, S., Villata, S.: A multilingual evaluation for online hate speech detection. ACM Transactions on Internet Technology (TOIT) 20
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Kakwani, D., Kunchukuttan, A., Golla, S., N.C., G., Bhattacharyya, A., Khapra, M.M., Kumar, P.: IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages. In: Findings of EMNLP (2020)
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Gaikwad, S., Ranasinghe, T., Zampieri, M., Homan, C.M.: Cross-lingual offensive language identification for low resource languages: The case of marathi (2021)
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Geet D’Sa, A., Illina, I., Fohr, D., Klakow, D., Ruiter, D.: Exploring Conditional Language Model Based Data Augmentation Approaches For Hate Speech Classification. In: TSD 2021 - 24th International Conference on Text, Speech and Dialogue. Olomouc, Czech Republic (Sep 2021), https://hal.inria.fr/hal-03244472
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Matamoros-Fernández, A., Farkas, J.: Racism, hate speech, and social media: A systematic review and critique. Television & New Media 22
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2022
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Kulkarni, A., Mandhane, M., Likhitkar, M., Kshirsagar, G., Jagdale, J., Joshi, R.: Experimental evaluation of deep learning models for marathi text classification. In: Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. pp. 605–613. Springer (2022)
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