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Otsuki A | OMICS International
ISSN: 2167-0587

Journal of Geography & Natural Disasters
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Otsuki A

College of Economics, Chiyoda-Ku, Tokyo

Disaster Warning Map using Premonitory Symptom Keywords Gathered from Twitter in Real Time

In this research project, the premonitory symptom keywords and location information relating to landslides, tsunamis, river flooding and sudden downpours of rain were gathered from Twitter (SNS Data) in real time. The data was analyzed, a hazard coefficient was calculated, and this coefficient was then visualized on a heat map so that a disaster wa... Read More»

Otsuki A, Kuwana A and Kawamura M

Research Article: J Geogr Nat Disast 2018, 8:217

DOI: 10.4172/2167-0587.1000217

Abstract Peer-reviewed Full Article Peer-reviewed Article PDF Mobile Full Article