Analyzing and Visualizing Disaster Phases from Social Media Streams
dc.contributor.author | Lin, Xiao | en |
dc.contributor.author | Chen, Liangzhe | en |
dc.contributor.author | Wood, Andrew | en |
dc.date.accessioned | 2012-12-12T01:10:49Z | en |
dc.date.available | 2012-12-12T01:10:49Z | en |
dc.date.issued | 2012-12-11 | en |
dc.description | Group Name: ProjVizDisasters Client: Seungwon Yang | en |
dc.description.abstract | Working under the direction of CTRNet, we developed a procedure for classifying Twitter data related to natural/man-made disasters into one of the Four Phases of Emergency Management (response, recovery, mitigation, and preparedness) as well as a multi-view system for visualizing the resulting data. | en |
dc.identifier.uri | http://hdl.handle.net/10919/19084 | en |
dc.language.iso | en | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | en | |
dc.subject | Emergency Management | en |
dc.subject | Four Phase Model | en |
dc.subject | Classification | en |
dc.subject | Visualization | en |
dc.title | Analyzing and Visualizing Disaster Phases from Social Media Streams | en |
dc.type | Software | en |
dc.type | Technical report | en |
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- Tweet dataset from Hurricane Isaac, our case study.
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