“It is time-consuming and difcult to manually process and classify massive quantities of text data. However, due to the huge amount of data posted every day, automatic methods are essential for identifying such type of content. I am using three machine learning models such as SVM, Logistic Regression, Random Forest. Because of the hasty growth of social media such as blogs and social net-working sites, where individuals put in freely their perspectives on different themes. Researchers prove that people find it comfortable to be opinionated in their mother tongue, be it verbal or written. Hate Speech Detection in Conventional Language on Social Media by using Machine Learning Share this:FacebookXLike this:Like Loading... Post navigation SOCIAL MEDIA BASED MULTI-CLASS HATE SPEECH CLASSIFICATION FOR TEXT (irjmeds.com) Accountability And Sanctions Are Key In The Fight Against Hate Speech (CIN.BA)