Pseudo-conventional Approach for Cyberbullying and Hate-speech detection

Cyberbullying is an upsetting web misconduct with alarming results. It shows up in various structures, and in a large portion of the informal communities, it could be found in various textual or image formats. Detection of such episodes requires shrewd frameworks. In this paper we have compared various approaches that were and are still being used to detect cyberbullying. An approach with multiple ML Algorithms and DL model has been proposed and tested by us for the cause.