Multilingual Toxic comments Classification using Bert
The swift expansion of online platforms has led to a surge in toxic comments, disrupting digital communities and adversely affecting users. Tackling this pervasive issue presents significant challenges, particularly in a multilingual context, as most available solutions tend to focus primarily on English. This project presents a multilingual toxic comments classification system harnessing Multilingual BERT (mBERT) capabilities.