000			a
999			_c33368 _d33368
008			241107b xxu||||| |||| 00| 0 eng d
020			_a9781108816946
082			_a384.33 _bCAS
100			_aCastillo, Carlos
245			_aBig crisis data : social media in disasters and time-critical situations
260			_bCambridge University Press, _c2019 _aNew York :
300			_axii, 212 p. ; _bill., _c23 cm.
365			_b2674.00 _c₹ _d01
504			_aIncludes bibliographical references and index.
520			_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"-- "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 the human compassion expressed by millions 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 450 references to in-depth information
650			_aData mining
650			_aDisaster relief
650			_aCitizen participation
650			_aData processing
650			_aEmergency management
650			_aOnline social networks
650			_aChoropleth map
650			_aCrowdsourcing
650			_aDigital volunteering
650			_aFalse discovery rate
650			_aInformation cascades
650			_aNamed entity recognition
650			_aNaturaLanguage
650			_aOpenStreetMap
650			_aSocial media messages
650			_aTag cloud
942			_2ddc _cBK