Predicting Online Extreme Religious Discourse Using Natural Language Processing Technique

Abstract

In the current age innovation has become an indistinguishable piece of our life. Interpersonal interaction Site is an incredible advancement of current occasions. Facebook, Twitter and so forth have become an ordinary piece of people groups' lives. Everyone utilizing the web these days utilizes long range informal communication destinations. Online media has become a stage for each sort of correspondence. Presently-a-days one can scarcely discover any individual who isn't a client of any online media. Web-based media calculations, today, work in a way where one as a rule sees the sort of posts one prefers or is lined up with, making the scope of discussions smaller and, frequently, and their unnecessary utilization risky. Just as the different employments of interpersonal interaction locales, individuals in some cases end up engaged with genuine viciousness, incited by some online media posts or exercises. One of them is strict viciousness. Strict viciousness is a term that covers marvels where religion is either the subject or the object of rough conduct. Strict viciousness is brutality that is inspired by, or in response to, strict statutes, messages, or the principles of an objective or an aggressor. It incorporates viciousness against strict foundations, individuals, items, or occasions. Strict savagery doesn't solely allude to acts which are submitted by strict gatherings, all things being equal, incorporates acts which are submitted against strict gatherings. Strict savagery is going through a restoration. The spike in exacting mercilessness is worldwide and impacts fundamentally every severe social affair. Nowadays individuals are utilizing interpersonal interaction destinations for posting or remarking their talks about religion which have positive or pessimistic effect and may be answerable for religion brutality. The study focused on religion discourses from some popular social media sites and would have predicted extreme religious discourse data among them.