Carlos Castillo. -- Cambridge University Press, -- 2016. --

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ISBN 1107135761 (hardback)
ISBN13桁 9781107135765 (hardback)
テキストの言語 英語                  
分類:NDC10版 369.3
個人著者標目 Castillo, Carlos,
生没年等 1977-
本タイトル Big crisis data :
タイトル関連情報 social media in disasters and time-critical situations /
著者名 Carlos Castillo.
出版地・頒布地 New York, NY :
出版者・頒布者名 Cambridge University Press,
出版年・頒布年 2016.
数量 xii, 212 pages :
他の形態的事項 illustrations, map ;
大きさ 24 cm.
書誌注記 Includes bibliographical references (pages 171-207) and index.
内容注記 1. Introduction; 2. Volume: data acquisition, storage, and retrieval; 3. Vagueness: natural language and semantics; 4. Variety: classification and clustering; 5. Virality: networks and information propagation; 6. Velocity: online methods and data streams; 7. Volunteers: humanitarian crowdsourcing; 8. Veracity: misinformation and credibility; 9. Validity: biases and pitfalls of social media data; 10. Visualization: crisis maps and beyond; 11. Values: privacy and ethics; 12. Conclusions and outlook.
要約、抄録、注釈等 "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"-- Provided by publisher.,"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"-- Provided by publisher.
一般件名 Disaster relief -- Citizen participation.
Disaster relief -- Data processing.
資料情報1 『Big crisis data : social media in disasters and time-critical situations /』 Carlos Castillo. Cambridge University Press, 2016. (所蔵館:中央  請求記号:F/369.3/C35/B  資料コード:7108876452)
URL https://catalog.library.metro.tokyo.lg.jp/winj/opac/switch-detail.do?lang=ja&bibid=1352025661