TOXIC COMMENT CLASSIFICATION

Abstract

We live in a the evolution of the Internet, the use ication has increased significantly in recent years cornmun the door to trolls poisoning these others. Detecting toxic comments online has become an important issue in recent years. defined as obscene, inappropriate or abusive comments that leave Current methods of dealing with online poisoning often rely heavily not measurable enough to handle the growing number Toxic comments are you speechless. on manual moderation and are project Toxic Comment Classification model through identify toxicity, identity-hate, threats, severe-toxic, obscene etc and of identification of toxic material on online of users on a daily basis. Our ■ which we can through this we can automate the process forums and other communication platforms. Different techniques and models whieh involving like data analysis, data we used for the identification and different stages ion and other neural network and machine learning processing, TF/IDF, logistic regression models which will be studied and discussed.