Using Social Media to Enhance Emergency Situation Awareness
- 7 February 2012
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Intelligent Systems
- Vol. 27 (6), 52-59
- https://doi.org/10.1109/mis.2012.6
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
This publication has 9 references indexed in Scilit:
- Harnessing the Crowdsourcing Power of Social Media for Disaster ReliefIEEE Intelligent Systems, 2011
- Earthquake shakes Twitter usersPublished by Association for Computing Machinery (ACM) ,2010
- Microblogging during two natural hazards eventsPublished by Association for Computing Machinery (ACM) ,2010
- A Lexicon-Enhanced Method for Sentiment Classification: An Experiment on Online Product ReviewsIEEE Intelligent Systems, 2009
- WIPER: The Integrated Wireless Phone Based Emergency Response SystemLecture Notes in Computer Science, 2006
- Survey of Clustering AlgorithmsIEEE Transactions on Neural Networks, 2005
- Situation awareness in emergency medical dispatchInternational Journal of Human-Computer Studies, 2004
- Toward a Theory of Situation Awareness in Dynamic SystemsHuman Factors: The Journal of the Human Factors and Ergonomics Society, 1995
- Silhouettes: A graphical aid to the interpretation and validation of cluster analysisJournal of Computational and Applied Mathematics, 1987