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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The Impact of Twitter on Saudi Banking Sectors in the Presence Of Social Media: An Evaluative Study
TL;DR: In this article, the authors analyzed the messages of Twitter in the Saudi banking sectors and found that Twitter data can be a useful resource for promotion, conversation and spreading news among banks' potential clients.
Book ChapterDOI
Rapid Development of Interactive Applications Based on Online Social Networks
TL;DR: Instant messaging capabilities of online social networks are used in an ad-hoc way for social activities, like organizing meetings or gathering preferences among a group of friends, or as a means to contact community managers of companies or services.
Posted Content
Extracting localized information from a Twitter corpus for flood prevention
Etienne Brangbour,Pierrick Bruneau,Stéphane Marchand-Maillet,Renaud Hostache,Patrick Matgen,Marco Chini,Thomas Tamisier +6 more
TL;DR: The goal here is to get a first estimation of the quality and precision of the geographical information featured in the collected corpus, as well as its analysis from both spatial and topical perspectives.
Journal Article
Natural Tragedy Commendation Hasty Alert Using Tweet Events Over Distributed Processing Framework
TL;DR: This paper investigates the real-time interaction of events such as cyclones in Twitter and proposes a framework to monitor tweets to detect a target event and large scales tweet data processing by placing those tweet events in a distributed system.
Journal ArticleDOI
Crowd Detection in Mass Gatherings Based on Social Media Data: A Case Study of the 2014 Shanghai New Year's Eve Stampede.
TL;DR: The results show that the numbers of check-ins in all of Shanghai on New Years’ Eve is twice that of other days and that Moran’s I reaches a peak on this date, implying a spatial autocorrelation mode.
References
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