This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development
April 2013 (vol. 25 no. 4)
pp. 919-931
Takeshi Sakaki, The University of Tokyo, Tokyo
Makoto Okazaki, The University of Tokyo, Tokyo
Yutaka Matsuo, The University of Tokyo, Tokyo
Twitter has received much attention recently. An important characteristic of Twitter is its real-time nature. We investigate 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 produce 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. As an application, we develop an earthquake reporting system for use in Japan. Because of the numerous earthquakes and the large number of Twitter users throughout the country, we can detect an earthquake with high probability (93 percent of earthquakes of Japan Meteorological Agency (JMA) seismic intensity scale 3 or more are detected) merely by monitoring tweets. Our system detects earthquakes promptly and notification is delivered much faster than JMA broadcast announcements.
Index Terms:
Earthquakes,Twitter,Real time systems,Event detection,Estimation,Probabilistic logic,Blogs,earthquake,Twitter,event detection,social sensor,location estimation
Citation:
Takeshi Sakaki, Makoto Okazaki, Yutaka Matsuo, "Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development," IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 4, pp. 919-931, April 2013, doi:10.1109/TKDE.2012.29
Usage of this product signifies your acceptance of the Terms of Use.