Multilingual Toxic Comment Classifier

This research study’s primary goal is to identify all the toxic comments on social media including hate, abusive, obscene, threat and insulting comments in a dataset where the entries are stored in more than one language. In the dataset with more than one language there are many problems faced in writing the pseudo-code of the Deep learning algorithms as the first part for each and every algorithm was to detect the language and then search/detect the word as to a toxic or a non-toxic comment.