Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations

IEEE Transactions on Computational Social Systems(2019)

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摘要
Microblogging sites like Twitter are the important sources of real-time information during disaster/emergency events. During such events, the critical situational information posted is immersed in a lot of conversational content; hence, reliable methodologies are needed for extracting the meaningful information. In this paper, we focus on a particular application that is critical for efficient man...
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关键词
Data mining,Pattern matching,Training data,Neural networks,Earthquakes,Task analysis,Twitter
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