Live Detection of Traffic from Twitter

Abstract

Online social network is the platforms that users can make the relationships and share interests with others person. Popular social networking sites include MySpace, Facebook, Twitter and Google+, etc. In current era, social networking sites play vital roles in people’s  life. In 2005, MySpace attracts more page views than Google. In 2009, Facebook overtook MySpace and became the largest social network site[1] Twitter is among the spreading up micro blogging and online social networking services. Twitter was created in March 2006 by Jack Dorsey. Dorsey published the first Twitter message at 9:50 PM Pacific Standard Time (PST) Messages posted on Twitter (tweets) having everything from day to day life stories to the latest local and global news and events. In June 2012.1 over 400 million tweets per day with more than 140 million users Twitter enables users to post status updates, or tweets, no longer than 140 characters message to followers using various communication services (e.g., cell phones-mails, Web interfaces, or other third-party applications. We also able to focus if traffic is caused by an external event or not, Proposed system is an intelligent system based on text mining and Natural language processing algorithm, for real-time detection of traffic events from Twitter stream and traffic & gives that real time information on Television &FM a s the news bulletin[4].we also focus on exact location of user, not the region In the previous paper, we took only Italian language tweets. However, the proposed system can be developed for UK US languages