Meeting of the Association for Computational Linguistics · 2013 · 87 citations · 23 references
Health ProfessionsCommunicationDisaster PlanningDisaster ResponseEmergency ManagementNatural Language ProcessingCrisis CommunicationCrisis MessagingDisaster CommunicationDisaster Response CoordinationEmergency CommunicationInformation ExtractionCommunication During DisastersCoordination During DisastersCrisis Event DetectionDisaster Event DetectionDisaster Information Sharing
The 2011 Great East Japan Earthquake caused a wide range of problems, and as countermeasures, many aid activities were carried out. Many of these problems and aid activities were reported via Twitter. However, most problem reports and corresponding aid messages were not successfully exchanged between victims and local governments or humanitarian organizations, overwhelmed by the vast amount of information. As a result, victims could not receive necessary aid and humanitarian organizations wasted resources on redundant efforts. In this paper, we propose a method for discovering matches between problem reports and aid messages. Our system contributes to problem-solving in a large scale disaster situation by facilitating communication between victims and humanitarian organizations.
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An Introduction to Statistical Methods and Data Analysis
Technometrics · 1994 · 5.4K citations
Earthquake shakes Twitter users
Takeshi Sakaki, Makoto Okazaki, Yutaka Matsuo · 2010 · 3.7K citations
Natural Sciences, Data Science, Natural Language Processing +14
Microblogging during two natural hazards events
Sarah Vieweg, Amanda Hughes, Kate Starbird et al. · 2010 · 1.4K citations