Traffic Detection Using Tweets on Twitter Social Network
International Journal of Science and Research (IJSR) · 2015
Social networks can be employed as a source of information for event detection such as road traffic congestion and car accidents. Existing system present a real-time monitoring system for traffic event detection from twitter.The system fetches tweets from twitter and then; processes tweets using text mining techniques.Lastly performs the classification of tweets.The aim of the system is to assign the appropriate class label to each tweet, whether it is related to a traffic event or not.System employed the support vector machine as a classification model.The proposed system uses the system based on semi-supervised approach, which gives training using traffic related dataset.We propose a clustering approach for classification of the tweets in traffic related and non-traffic related tweets.We employ a Euclidean distance to calculate the similarity between the tweets.