Big crisis data: social media in disasters and time-critical situations
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,...
Gespeichert in:
| Beteilige Person: | |
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
Cambridge University Press
2016
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| Links: | https://doi.org/10.1017/CBO9781316476840 |
| Zusammenfassung: | 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. |
| Umfang: | 1 Online-Ressource (xii, 212 Seiten) |
| ISBN: | 9781316476840 |
Internformat
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| spelling | Castillo, Carlos 1977- Big crisis data social media in disasters and time-critical situations Carlos Castillo New York Cambridge University Press 2016 1 Online-Ressource (xii, 212 Seiten) txt c cr 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. Erscheint auch als Druck-Ausgabe 9781107135765 |
| spellingShingle | Castillo, Carlos 1977- Big crisis data social media in disasters and time-critical situations |
| title | Big crisis data social media in disasters and time-critical situations |
| title_auth | Big crisis data social media in disasters and time-critical situations |
| title_exact_search | Big crisis data social media in disasters and time-critical situations |
| title_full | Big crisis data social media in disasters and time-critical situations Carlos Castillo |
| title_fullStr | Big crisis data social media in disasters and time-critical situations Carlos Castillo |
| title_full_unstemmed | Big crisis data social media in disasters and time-critical situations Carlos Castillo |
| title_short | Big crisis data |
| title_sort | big crisis data social media in disasters and time critical situations |
| title_sub | social media in disasters and time-critical situations |
| work_keys_str_mv | AT castillocarlos bigcrisisdatasocialmediaindisastersandtimecriticalsituations |