A Novel Method for Actual Facts Discovering of Congestion from Twitter Flow Study

Abstract

Now days, social networking is additional standard. For instance, twitter, Face book etc. Social networking is employed for event detection in real time. Real time events are traffic detection, earthquake observance. During this paper, we tend to use the twitter for real time traffic event detection. Firstly, the system extracts the tweets from twitter and applies the text mining techniques on it tweets. Those techniques square measure tokenization, stop-word removing, is stemming. At the moment classify that on the idea of sophistication label i.e. traffic event or no traffic event. During this paper, we present an internet technique for detection of real-traffic events in Twitter information.