Big crisis data : social media in disasters and time-critical situations (Record no. 33368)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241107b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108816946
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 384.33
Item number CAS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Castillo, Carlos
245 ## - TITLE STATEMENT
Title Big crisis data : social media in disasters and time-critical situations
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Cambridge University Press,
Date of publication, distribution, etc 2019
Place of publication, distribution, etc New York :
300 ## - PHYSICAL DESCRIPTION
Extent xii, 212 p. ;
Other physical details ill.,
Dimensions 23 cm.
365 ## - TRADE PRICE
Price amount 2674.00
Price type code
Unit of pricing 01
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc 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"-- "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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
Topical term or geographic name as entry element Disaster relief
Topical term or geographic name as entry element Citizen participation
Topical term or geographic name as entry element Data processing
Topical term or geographic name as entry element Emergency management
Topical term or geographic name as entry element Online social networks
Topical term or geographic name as entry element Choropleth map
Topical term or geographic name as entry element Crowdsourcing
Topical term or geographic name as entry element Digital volunteering
Topical term or geographic name as entry element False discovery rate
Topical term or geographic name as entry element Information cascades
Topical term or geographic name as entry element Named entity recognition
Topical term or geographic name as entry element NaturaLanguage
Topical term or geographic name as entry element OpenStreetMap
Topical term or geographic name as entry element Social media messages
Topical term or geographic name as entry element Tag cloud
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Koha item type
          DAU DAU 2024-11-05 Amazon 2674.00 1 384.33 CAS 035077 2025-03-27 2025-03-03 Books

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