LEADER 01848nam  2200289   450 
001 996226327503316
005 20170630113236.0
010   $a978-1-107-13576-5
100   $a20170630d        km y0itay5003    ba
101 0 $aeng
102   $aUS
105 0 $ay       00  y
200 1 $aBig crisis data$esocial media in disasters and time-critical situations$gCarlos Castillo
210   $aNew York$cCambridge University Press$d20
215   $aXII, 212 p.$cill.$d24 cm
330   $aSocial 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"-- Provided by publisher.
606 0 $aCalamità$xEffetti sociali$2BNCF
606 0 $aTecnologia dell'informazione e della comunicazione
676   $a363.3480285
700  1$aCASTILLO,$bCarlos$f<1977-$0743417
801 0 $aIT$bsalbc$gISBD
912   $a996226327503316
951   $aINF01 21$b221 DISA
959   $aBK
969   $aDISTRA
996   $aBig crisis data$91478862
997   $aUNISA