2021/04/19 by Karthik Puranik, Puranik, Karthik, Adeep Hande +7
Computer Science · #Hate Speech and Cyberbullying Detection #Speech Recognition and Synthesis #Topic Modeling
paper · pdf · doi:10.48550/arxiv.2104.09066
In a world filled with serious challenges like climate change, religious and political conflicts, global pandemics, terrorism, and racial discrimination, an internet full of hate speech, abusive and offensive content is the last thing we desire for. In this paper, we work to identify and promote positive and supportive content on these platforms. We work with several transformer-based models to classify social media comments as hope speech or not-hope speech in English, Malayalam and Tamil languages. This paper portrays our work for the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion at LT-EDI 2021- EACL 2021.