Big data analytics for disaster response and recovery through sentiment analysis

Volume: 42, Pages: 13 - 24
Published: Oct 1, 2018
Abstract
Big data created by social media and mobile networks provide an exceptional opportunity to mine valuable insights from them. This information is harnessed by business entities to measure the level of customer satisfaction but its application in disaster response is still in its inflection point. Social networks are increasingly used for emergency communications and help related requests. During disaster situations, such emergency requests need...
Paper Details
Title
Big data analytics for disaster response and recovery through sentiment analysis
Published Date
Oct 1, 2018
Volume
42
Pages
13 - 24
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