Offensive Text Detection for Tamil Language
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58495-4_16
Reference15 articles.
1. Karim, M.R., Chakravarthi, B.R., McCrae, J.P., Cochez, M.: Classification benchmarks for under-resourced Bengali language based on multichannel convolutional-LSTM network, pp. 390–399 (2020). https://doi.org/10.1109/DSAA49011.2020.00053
2. Roy, P.K., Tripathy, A.K., Das, T.K., Gao, X.-Z.: A framework for hate speech detection using deep convolutional neural network. IEEE Access 8, 204951–204962 (2020). https://doi.org/10.1109/ACCESS.2020.3037073
3. Bilal, M., Khan, A., Jan, S., Musa, S.: Context-aware deep learning model for detection of Roman Urdu hate speech on social media platform. IEEE Access 10, 121133–121151 (2022). https://doi.org/10.1109/ACCESS.2022.3216375
4. Velankar, A., Patil, H., Gore, A., Salunke, S., Joshi, R.: Hate and offensive speech detection in Hindi and Marathi (2021)
5. Subramanian, M., et al.: Offensive language detection in Tamil YouTube comments by adapters and cross-domain knowledge transfer, Comput. Speech Lang. 76, 101404 (2022). ISSN 0885-2308, https://doi.org/10.1016/j.csl.2022.101404
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