International Journal of Business Analytics and Intelligence

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Real-Time Event Detection and Earthquake Reporting System for the Twitter Users


Affiliations
1 Department of Computer Applications, B. S. Abdur Rahman University, Chennai, India
2 Department of Computer Applications, B.S. Abdur Rahman University, Chennai, India
     

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Twitter is a popular micro blogging service and its important characteristic is its being real-time in nature. The earthquakes event in twitter is a real-time interaction and it's developed by particle filter algorithm to monitor msg and to detect a target event. Particle filter algorithm is used to find out location of an event. JMA broadcast technique has been used to distributes the warning information to stations and mobile phone companies, before the occurrence of earthquakes. JMA broadcast announcements consume more time to broadcast earthquake early warning informations among the advanced users world.

Twitter is a popular micro blogging service and its important characteristic is its real-time nature. In the proposed system, the real-time interaction of events are investigated such as earthquakes in twitter, system detects earthquakes promptly and notification is delivered much faster than JMA broadcast announcement. In this paper considering each twitter user as a sensor, particle filtering algorithm is applied which is widely used for location estimation in ubiquitous computing.


Keywords

Twitter, Micro Blogging Service, Event Detection, Earthquake, Location Estimation and Social Sensor, Particle Filter, Semantic Analysis.
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  • Passant, A., Hastrup, T., & Bojars, U. (2008). Microblogging: A semantic web and distributed approach. In Proceedings of Fourth Workshop Scripting for the Semantic Web. http://data.semanticweb.org/workshop/scripting/2008/paper/11.

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Abstract Views: 364

PDF Views: 2




  • Real-Time Event Detection and Earthquake Reporting System for the Twitter Users

Abstract Views: 364  |  PDF Views: 2

Authors

A. Kamila Kausar
Department of Computer Applications, B. S. Abdur Rahman University, Chennai, India
A. Anny Leema
Department of Computer Applications, B.S. Abdur Rahman University, Chennai, India

Abstract


Twitter is a popular micro blogging service and its important characteristic is its being real-time in nature. The earthquakes event in twitter is a real-time interaction and it's developed by particle filter algorithm to monitor msg and to detect a target event. Particle filter algorithm is used to find out location of an event. JMA broadcast technique has been used to distributes the warning information to stations and mobile phone companies, before the occurrence of earthquakes. JMA broadcast announcements consume more time to broadcast earthquake early warning informations among the advanced users world.

Twitter is a popular micro blogging service and its important characteristic is its real-time nature. In the proposed system, the real-time interaction of events are investigated such as earthquakes in twitter, system detects earthquakes promptly and notification is delivered much faster than JMA broadcast announcement. In this paper considering each twitter user as a sensor, particle filtering algorithm is applied which is widely used for location estimation in ubiquitous computing.


Keywords


Twitter, Micro Blogging Service, Event Detection, Earthquake, Location Estimation and Social Sensor, Particle Filter, Semantic Analysis.

References