Hate speech and offensive language detection using logistic regression & deep learning model

Abstract

What is hate speech? The words which propagate hatred towards a person or a group of persons in any form on the basis of sex, religion, race etc. It may also lead to violence. What is offensive speech? The words which offend someone or their opinion on anything. It may consist of the use of vulgar language or emoticons or any form of verbal abuse. Difference between hate and offensive speech 1. Hate speech often leads to violence whereas offensive speech may not lead to violence. 2. Offensive speech is more of a personal attack to make a person feel worse whereas hate speech concentrates more on spreading violence and hatred among communities and making use of it. Today, in the world of technology, people in the name of free speech often try to demean others and their beliefs and opinions. To maintain peace in the world of social media so that toxic people cannot spread hate and offend, it is necessary to detect hate and offensive speech. This model, if implemented, can reduce violence among communities and create peace and harmony in our community.