Email this article An Unprecedented Approach of Detecting and Reporting System of Earthquakes Using Tweet Analysis
Abstract
Social media has got an exponential growth in recent years. One of the most representative examples is Twitter, which allows users to publish short tweets (messages within a 140-character limit) about “what’s happening”. This paper focuses on detecting those events to have a better understanding of what users are really discussing about in Twitter. Event detection has long been a research topic. The underlying assumption is that some related words would show an increase in the usage when an event is happening. An event is therefore conventionally represented by a number of keywords showing burst in appearance count. In this paper, we investigated the real-time nature of Twitter, devoting particular attention to event detection like earthquake. We developed an earthquake reporting system that extracts earthquakes from Twitter. It is possible to detect an earthquake by monitoring tweets. Our system detects an earthquake occurrence and sends an e-mail, possibly before an earthquake actually arrives at a certain location. This paper is the first of its kind using social media for detecting natural calamities.
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References
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