Toxic Comment Tools: A Case Study

The online web tools enable everyone who can confidently voice their opinions in public sphere. The opinion may be encouragement, blessing or good suggestion i.e. positive, or it may be negative to that extent that it must be restricted at some point. The aim of this paper is to survey the different machine learning techniques employed within the scope of discovering the hateful language on social networking site, their challenges to provide a solution to detect the toxic comment and modify it of the same.