A Survey on Traffic Detection from Twitter Tweets Analysis
Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 12)Publication Date: 2016-12-05
Authors : Sandeep G. Panchal; Ravindra S. Apare;
Page : 832-835
Keywords : Twitter; traffic detection; text mining and NLP;
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.
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