Twitter Stream Analysis for traffic detection in real time
Keywords:Traffic event detection, tweet classification, social sensing, text mining, NLP.
Social networking sites have spread in recent year and becoming real time information channel. In this
paper we use the Twitter as social networking site for collecting the real time information. In this paper, we use some
machine learning technique and text mining algorithms for traffic detection. Firstly, we fetch the tweets then apply the
sentiment analysis techniques on that fetched tweets. We use the NLP for extracting the meaningful information. NLP
include tokenization, stop word removing stemming. These NLP method apply on that tweets and after that the classify
tweets into two types i.e. Traffic or Non Traffic event. If there is traffic then show the alternate path to user.