Bengali social media comments classification and toxicity detection using advanced machine learning algorithms

Abstract

This project presents a system for classifying topics and sentiments from Bengali comments using both machine learning and deep learning algorithms. Detecting toxic behavior and hate speech is a primary usage of this system. All steps taken to complete this experiment were done maintaining widely accepted standards. One of the challenges of this experiment was working with a low-resource language like Bengali that required custom and extensive preprocessing and model design. All the trained models were evaluated using standard metrics. Aside from the technical aspects, this project also focuses on improving online safety and moderation for Bengali language. A comment analysis tool for web view is also developed as part of this project.