Using Social Media to Enhance Emergency Situation Awareness

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.

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE intelligent systems 2012-11, Vol.27 (6), p.52-59
Hauptverfasser:	Jie Yin, Lampert, A., Cameron, M., Robinson, B., Power, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Blogs burst detection Clustering algorithms Computer science control theory systems Computer systems and distributed systems. User interface Data mining Data processing Data processing. List processing. Character string processing Disaster recovery Disasters Emergencies emergency response Exact sciences and technology Feature extraction Media Medical information processing Medical services Memory organisation. Data processing Messages Natural language processing online clustering situation awareness social media Social network services Social networks Software Speech and sound recognition and synthesis. Linguistics text classification Twitter
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Beschreibung
Zusammenfassung:	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.
ISSN:	1541-1672 1941-1294
DOI:	10.1109/MIS.2012.6