Journal ArticleDOI
Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development
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TLDR
An earthquake reporting system for use in Japan is developed and an algorithm to monitor tweets and to detect a target event is proposed, which produces a probabilistic spatiotemporal model for the target event that can find the center of the event location.Abstract:
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.read more
Citations
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Journal ArticleDOI
Assessment of online public opinions on large infrastructure projects: A case study of the Three Gorges Project in China
TL;DR: An assessment framework to transform unstructured online public opinions on large infrastructure projects into sentimental and topical indicators for enhancing practices of ex post evaluation and public participation is proposed and investigated on China's largest microblogging site, namely, Weibo.
Crowdsourcing tools for disaster management: a review of platforms and methods
TL;DR: In this paper, a set of online tools and platforms implemented in recent years which are currently being applied in the area of emergency management and proposes a taxonomy for its categorization.
Journal ArticleDOI
A framework for real-time Twitter data analysis
TL;DR: The method proposed extends and improves the Soft Frequent Pattern Mining algorithm by overcoming its limitations in dealing with dynamic, real-time, detection scenarios and aims to highlight the user's point of view.
Book ChapterDOI
Crowdsourcing Tools for Disaster Management: A Review of Platforms and Methods
TL;DR: This paper reviews a set of online tools and platforms implemented in recent years which are currently being applied in the area of emergency management and proposes a taxonomy for its categorization.
Journal ArticleDOI
A framework for detecting unfolding emergencies using humans as sensors
Marco Avvenuti,Mario G. C. A. Cimino,Stefano Cresci,Stefano Cresci,Andrea Marchetti,Maurizio Tesconi +5 more
TL;DR: A conceptual and architectural framework for the design of emergency detection systems based on the “human as a sensor” (HaaS) paradigm is proposed and a modular architecture, independent of a specific emergency type, is designed.
References
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