TRAFFIC DISCLOSURE FROM TWITTER STREAM ANALYSIS AND NAVIGATION SYSTEM release_dayx3z773rhnjpqvwadlduynaq

Abstract

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 twitter; 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.
In text/plain format

Archived Files and Locations