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A01=Carlos Castillo
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Big Crisis Data: Social Media in Disasters and Time-Critical Situations

English

By (author): Carlos Castillo

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 the 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. See more
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Original price €69.99
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A01=Carlos CastilloAge Group_UncategorizedAuthor_Carlos Castilloautomatic-updateCategory1=Non-FictionCategory=JFFCCategory=PDRCategory=UBJCategory=UDBSCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 440g
  • Dimensions: 156 x 234mm
  • Publication Date: 04 Jul 2016
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781107135765

About Carlos Castillo

Carlos Castillo is a researcher in social computing. He is a web miner with a background in information retrieval and has been influential in the areas of web content quality and credibility. He has co-authored more than seventy publications in top-tier international conferences and journals a monograph on adversarial web search and a book on information and influence propagation.

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