DocumentCode :
1443541
Title :
Using Social Media to Enhance Emergency Situation Awareness
Author :
Yin, Jie ; Lampert, Andrew ; Cameron, Mark ; Robinson, Bella ; Power, Robert
Volume :
27
Issue :
6
fYear :
2012
Firstpage :
52
Lastpage :
59
Abstract :
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.
Keywords :
data mining; disasters; emergency services; information retrieval; natural language processing; social networking (online); Twitter message; crises; data mining technique; disaster; emergency situation awareness; natural language processing; situation awareness information extraction; social media; Clustering algorithms; Data mining; Feature extraction; Medical information processing; Medical services; Natural language processing; Social network services; Twitter; Clustering algorithms; Data mining; Feature extraction; Medical information processing; Medical services; Natural language processing; Social network services; Twitter; burst detection; emergency response; online clustering; situation awareness; social media; text classification;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2012.6
Filename :
6148196
Link To Document :
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