Big Crisis Data

Social Media in Disasters and Time-Critical Situations

Nonfiction, Computers, Advanced Computing, Computer Science, General Computing
Cover of the book Big Crisis Data by Carlos Castillo, Cambridge University Press
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Author: Carlos Castillo ISBN: 9781316694510
Publisher: Cambridge University Press Publication: July 4, 2016
Imprint: Cambridge University Press Language: English
Author: Carlos Castillo
ISBN: 9781316694510
Publisher: Cambridge University Press
Publication: July 4, 2016
Imprint: Cambridge University Press
Language: English

Social media is an invaluable source of time-critical information during a crisis. However, emergency response and humanitarian relief organizations that would like to use this information struggle with an avalanche of social media messages that exceeds human capacity to process. Emergency managers, decision makers, and affected communities can make sense of social media through a combination of machine computation and human compassion - expressed by thousands of digital volunteers who publish, process, and summarize potentially life-saving information. This book brings together computational methods from many disciplines: natural language processing, semantic technologies, data mining, machine learning, network analysis, human-computer interaction, and information visualization, focusing on methods that are commonly used for processing social media messages under time-critical constraints, and offering more than 500 references to in-depth information.

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Social media is an invaluable source of time-critical information during a crisis. However, emergency response and humanitarian relief organizations that would like to use this information struggle with an avalanche of social media messages that exceeds human capacity to process. Emergency managers, decision makers, and affected communities can make sense of social media through a combination of machine computation and human compassion - expressed by thousands of digital volunteers who publish, process, and summarize potentially life-saving information. This book brings together computational methods from many disciplines: natural language processing, semantic technologies, data mining, machine learning, network analysis, human-computer interaction, and information visualization, focusing on methods that are commonly used for processing social media messages under time-critical constraints, and offering more than 500 references to in-depth information.

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