JudithJeyafreedaAndrew@DravidianLangTech-EACL2021: Offensive language detection for Dravidian Code-mixed YouTube comments

摘要

Messaging online has become one of the major ways of communication. At this level, there are cases of online/digital bullying. These include rants, taunts, and offensive phrases. Thus the identification of offensive language on the internet is a very essential task. In this paper, the task of offensive language detection on YouTube comments from the Dravidian languages of Tamil, Malayalam and Kannada are seen upon as a mutliclass classification problem. After being subjected to language specific pre-processing, several Machine Learning algorithms have been trained for the task at hand. The paper presents the accuracy results on the development datasets for all Machine Learning models that have been used and finally presents the weighted average scores for the test set when using the best performing Machine Learning model.