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Using Social Media to Enhance Emergency Situation Awareness
Nov.-Dec. 2012 (vol. 27 no. 6)
pp. 52-59
Jie Yin, CSIRO ICT Centre
Andrew Lampert, Palantir Technologies
Mark Cameron, CSIRO ICT Centre
Bella Robinson, CSIRO ICT Centre
Robert Power, CSIRO ICT Centre
The described system uses natural language processing and data mining techniques to extract situation awareness information from Twitter messages generated during various disasters and crises.
Index Terms:
Twitter,Social network services,Medical information processing,Clustering algorithms,Feature extraction,Medical services,Data mining,Natural language processing,burst detection,Twitter,Social network services,Medical information processing,Clustering algorithms,Feature extraction,Medical services,Data mining,Natural language processing,online clustering,situation awareness,emergency response,social media,text classification
Citation:
Jie Yin, Andrew Lampert, Mark Cameron, Bella Robinson, Robert Power, "Using Social Media to Enhance Emergency Situation Awareness," IEEE Intelligent Systems, vol. 27, no. 6, pp. 52-59, Nov.-Dec. 2012, doi:10.1109/MIS.2012.6
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