A Language-Free Hate Speech Identification on Code-mixed Conversational Tweets
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31956-3_8
Reference12 articles.
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2. Kovács, G., Alonso, P., Saini, R.: Challenges of hate speech detection in social media. SN Comput. Sci. 2, 1–15 (2021)
3. Modha, S., Majumder, P., Mandl, T., Mandalia, C.: Detecting and visualizing hate speech in social media: a cyber watchdog for surveillance. Expert Syst. Appl. 161 (2020)
4. Mandl, T., et al.: Overview of the hasoc track at fire 2019: Hate speech and offensive content identification in Indo-European languages. In: Proceedings of the 11th Forum for Information Retrieval Evaluation, FIRE’19, Association for Computing Machinery, New York, NY, USA, pp. 14–17 (2019)
5. Mandl, T., Modha, S., Kumar, A., Chakravarthi, M.B.R.: Overview of the hasoc track at fire 2020: Hate speech and offensive language identification in Tamil, Malayalam, Hindi, English and German. Forum for Information Retrieval Evaluation, FIRE 2020, Association for Computing Machinery, New York, NY, USA, pp. 29–32 (2020)
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