An Approach Towards Identification and Prevention of Riots by Analysis of Social Media Posts in Real-Time

This paper presents an approach for monitoring Facebook posts and comments in real-time, with an aim at identifying plausible riots that could spur up as a result. In this research, we employ an NLP and sentiment analysis based algorithm to classify a discussion as likely to cause a riot or not and identify the power groups involved in it.