Author : Pooja N. Jain and Archana S. Vaidya

With the very increasing number of platforms of online social media, the world has diminish even further with respect to communication and exchange of knowledge point of view. No Matter how, at times of communication, can be obstruction when misused using such extensive social media tools. The acts of terrorism become apparently suitable as the hurdle of communication is neutralized. The propagation of very unpleasent content becomes much more easier and even recruiting anti-socials gets easier. Strangely, these social media platforms are the ones that show crucial nature during such crises situations. On the use of social media during a time of terrorist attack the present study meaningfully address how to use social media for public communication with emergency organization, police or military during terrorist attack. Then how to perform post-attack social media analytic and how to detect acts of terrorism using Naive Baye’s and K-means clustering for clustering of tweets and to find trends, unrest and distaste using social media analytic. With this objective, we are trying to work in this command and is service for influencing to counter attack terrorism as it is the get off the hook for our country in the wake of latest Uri and Pulwama attack.

Keywords: Sentiment analysis, social media analytics, terrorism