Prediction of civil unrest by analysing social network using keyword filtering: A survey
Ruchika Parmarth Ganar, Shrikant B. Ardhapurkar · 2016
In this paper we present the work done on social media analysis to predict civil unrest using keyword filtering. The information given on the social media is delivered to every person within the fraction of seconds. This rapid circulation of information and the people opinions through social platform affects or create civil unrest. The social media such as Facebook or Twitter which is being used for posting what is happening?, what are the crimes happened?, what steps had been taken against that crime?, and it also give the individual to express each and every emotion on such platform. The opinions may change from person to person and posts may also create different impact on individual. The reaction may be negative or positive. Negative impact may be so strong that this may result into social unrest. There must be some tool or application that can be used to detect such post and predict the unrest. Due to the prediction of unrest before it happen will help the investigators/police to prepare for that situation or to completely stop such activity. The prediction is mostly done using keyword filtering algorithm.