TRAFFIC DISCLOSURE FROM TWITTER STREAM ANALYSIS AND NAVIGATION SYSTEM

Kavita Sawant, Snehal Patil, Poonam Jadhav, Sayali Vidhate, Nirasha Bule, Shital Scholars
International Journal of Exploring Emerging Trends in Engineering (IJEETE)   unpublished
Traffic congestion is a big problem the world is facing nowadays. People suffer very bad in terms of money and time. In this paper we present a system which detect the traffic and analyze reason of traffic using twitter stream analysis. Social networks are very useful source of information for event Detection with particular reference to road traffic congestion and car accident. Twitter is a social networking site which allows people to share and read tweets. The system fetches the tweets from
more » ... witter; applies natural language processing technique on them; categorizes the tweets related to traffic; notifies the registered users about it. Natural language processing (NLP) focuses on developing efficient algorithms to process text and convert it into machine understandable language. Here, we apply NLP on the tweets to detect the traffic.
fatcat:dayx3z773rhnjpqvwadlduynaq