Roman Urdu toxic comment classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10579-021-09530-y.pdf
Reference54 articles.
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2. van Aken, B., Risch, J., Krestel, R., & Löser, A. (2018). Challenges for toxic comment classification: An in-depth error analysis. In Proceedings of the 2nd Workshop on Abusive Language Online, ALW@EMNLP 2018. Brussels, Belgium, October 31, 2018, pp. 33–42 (2018). https://aclanthology.info/papers/W18-5105/w18-5105
3. Al-garadi, M. A., Varathan, K. D., & Ravana, S. D. (2016). Cybercrime detection in online communications: The experimental case of cyberbullying detection in the twitter network. Computers in Human Behavior, 63, 433–443. https://doi.org/10.1016/j.chb.2016.05.051.
4. Albadi, N., Kurdi, M., & Mishra, S. (2018). Are they our brothers? analysis and detection of religious hate speech in the arabic twittersphere. In U. Brandes, C. Reddy, A. Tagarelli (Eds.), IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018. Barcelona, Spain, August 28-31, 2018, pp. 69–76. IEEE Computer Society (2018). https://doi.org/10.1109/ASONAM.2018.8508247.
5. Ameer, I., Siddiqui, M. H.F ., Sidorov, G., & Gelbukh, A. F. (2019). CIC at semeval-2019 task 5: Simple yet very efficient approach to hate speech detection, aggressive behavior detection, and target classification in twitter. In J. May, E. Shutova, A. Herbelot, X. Zhu, M. Apidianaki, S. M. Mohammad (Eds.) Proceedings of the 13th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2019. Minneapolis, MN, USA, June 6–7, 2019, pp. 382–386. Association for Computational Linguistics (2019). https://aclweb.org/anthology/papers/S/S19/S19-2067/
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