Author:
Nandi Arpan,Sarkar Kamal,Mallick Arjun,De Arkadeep
Publisher
Springer Science and Business Media LLC
Reference73 articles.
1. Akhter S, et al ( 2018) Social media bullying detection using machine learning on Bangla text. In: 2018 10th International conference on electrical and computer engineering (ICECE). IEEE, pp 385–388
2. Alrehili A (2019) Automatic hate speech detection on social media: a brief survey. In: 2019 IEEE/ACS 16th international conference on computer systems and applications (AICCSA). IEEE, pp 1–6
3. Al Kuwatly H, Wich M, Groh G (2020) Identifying and measuring annotator bias based on annotators’ demographic characteristics. In: Proceedings of the 4th Workshop on online abuse and harms, pp 184–190
4. Anusha M, Shashirekha H (2020) An ensemble model for hate speech and offensive content identification in Indo-European languages. In: FIRE (Working Notes), pp 253–259
5. Barnwal S, Kumar R, Pamula R (2022) IIT DHANBAD CODECHAMPS at SemEval-2022 task 5: MAMI—multimedia automatic misogyny identification. In: Proceedings of the 16th international workshop on semantic evaluation (SemEval-2022). Association for Computational Linguistics, Seattle, pp 733–735. https://doi.org/10.18653/v1/2022.semeval-1.101