A Survey Paper on Real Time Detection & Reporting By Social Networks
Journal Title: American journal of Engineering Research - Year 2016, Vol 5, Issue 2
Abstract
In today’s era social network like Twitter, Facebook, LinkedIn playing very vital role in human behavior & their day to day life. These social networking sites can be used as social sensors such that we can predict or report Real time natural disastrous events likeStorms, fire, traffic jams, riots, heavy rain-falls, earthquakes. And also social events Parties, baseball games, presidential campaign .We have used twitter here for such purpose to have a tendency to investigate the period of time interaction of events like earthquakes in Twitter associate degreed propose a rule to observe tweets and to sight a target event. To sight a target event, we have a tendency to devise a classifier of tweets supported options like the keywords in a very tweet, the amount of words, and their context. This model is provided which might notice the centre of the event location & it will do real time reporting to all active users. The twitter users also act as a sensors and report the event information by making tweet or post. Once our module gets such tweets then it will start analysis and ready to predict real time event & location. Our reporting system also considers amount of tweets generated from same region so that system can check the authenticity of event. We choose earthquake related datasets for training at initial as we found it is very essential and continuously occurring event all over the world. We also can change our module with respect to different data sets of different events.
Authors and Affiliations
Thokal Nisha E. ,, Golekar Sulbha S. ,, Vavhal Priyanka B. ,, Ashish Kumar
Keywords
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