Using Social Networking Data as a Location Based Warning System
Twitter and Facebook are huge social networks that contain a lot of data that can be used for sentiment analysis. The authors often find out that a particular area they travel to is dangerous, after asking around. However what if they could use social networking data like 'Tweets' to find out if a place is actually dangerous? This paper introduces how to use social networking data, analyze it and use it for alerting someone in a disaster prone or high crime rate prone area with the help of Smart Phones using natural language processing and sentiment analysis.