Earthquake Reporting System by Using Real Time Nature of Twitter

TWITTER, a popular microblogging service, an important characteristic of Twitter is its real-time nature. We analyze the real-time interaction of events such as earthquakes in Twitter and propose an algorithm to monitor tweets and to detect a target event. To detect a target event, we devise a classifier of tweets based on features such as the keywords in a tweet, the number of words, and their context. Subsequently, we propose a probabilistic spatiotemporal model for the target event that can find the center of the event location. We regard each Twitter user as a sensor and apply particle filtering, which are widely used for location estimation. The particle filter works better than other comparable methods for estimating the locations of target events. Keywords— Twitter, event detection, social sensor, location estimation, earthquake