International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Cardiology Science | India | Volume 5 Issue 12, December 2016


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


Edition: Volume 5 Issue 12, December 2016,


Pages: 832 - 835


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How to Cite this Article?

Sandeep G. Panchal, Ravindra S. Apare, "A Survey on Traffic Detection from Twitter Tweets Analysis", International Journal of Science and Research (IJSR), Volume 5 Issue 12, December 2016, pp. 832-835, https://www.ijsr.net/get_abstract.php?paper_id=ART20163514

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