To tackle the conundrum of detecting offensive comments/posts which are considerably informal, unstructured, miswritten and code-mixed, we introduce two inventive methods in this research paper. Offensive comments/posts on the social media platforms, can affect an individual, a group or underage alike. In order to classify comments/posts in two popular Dravidian languages, Tamil and Malayalam, as a part of the HASOC - DravidianCodeMix FIRE 2021 shared task, we employ two Transformer-based prototypes which successfully stood in the top 8 for all the tasks. The codes for our approach can be viewed and utilized.
@article{arxiv.2111.09836,
title = {Pegasus@Dravidian-CodeMix-HASOC2021: Analyzing Social Media Content for Detection of Offensive Text},
author = {Pawan Kalyan Jada and Konthala Yasaswini and Karthik Puranik and Anbukkarasi Sampath and Sathiyaraj Thangasamy and Kingston Pal Thamburaj},
journal= {arXiv preprint arXiv:2111.09836},
year = {2021}
}