EARTHQUAKE DETECTION AND REPORTING SYSTEM

Authors

  • Ms. Swapnali Kulkarni Department of Computer Engineering Pune University VACOE, Ahmednagar, India
  • Prof. Mandar Kshirsagar Department of Computer Engineering Pune University VACOE, Ahmednagar, India

Keywords:

PROPOSED SYSTEM

Abstract

Now a day’s large number of people is moving towards the social networking. Twitter is one of the bestexamples of social networking. Twitter is generally categorized as a micro-blogging service, which enables users to send brief text updates. These tweets are processed through twitter search API and crawler and used in real time event detection system such as detecting an earthquake. In proposed system semantic analysis is used to analyze the tweets. Support vector machines (SVMs) are used for classification, regression and outliers detection. The occurrence of event detection is done by spatiotemporal model by treating each twitter user as a sensor value. For the purpose of location estimation, an algorithm is used which is based on the tweet content similarity and the location transition history of twitter user.

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Published

2021-03-27

Issue

2015: ICITDCEME

Section

Articles

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