A Survey on Traffic Detection from Twitter Tweets Analysis

Sandeep G. Panchal, Ravindra S. Apare

Abstract: Internet of thing, the social sites have large amount information source. The social site is like twitter, Facebook, google+ and whats app. The social site is used for communication purpose. The user can update him into it status update message. Twitter is the most popular social site. Which having the source of information related traffic detection. This paper is a survey on traffic detection from twitter tweets analysis. First of all find the traffic related tweets from twitter and then process it using text mining techniques. Finally, classify the tweets and assign that tweet with appropriate class labels, as related to traffic or nontraffic. This system is real-time traffic detection and monitoring system from twitter stream analysis.

Keywords: Twitter, traffic detection, text mining and NLP

How to Cite?: Sandeep G. Panchal, Ravindra S. Apare, "A Survey on Traffic Detection from Twitter Tweets Analysis", Volume 5 Issue 12, December 2016, International Journal of Science and Research (IJSR), Pages: 832-835, https://www.ijsr.net/getabstract.php?paperid=ART20163514, DOI: https://dx.doi.org/10.21275/ART20163514