Parameter free bursty events detection in text streams
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Neural Computation
ESA: emergency situation awareness via microbloggers
Proceedings of the 21st ACM international conference on Information and knowledge management
A sensitive Twitter earthquake detector
Proceedings of the 22nd international conference on World Wide Web companion
Comparing web feeds and tweets for emergency management
Proceedings of the 22nd international conference on World Wide Web companion
Practical extraction of disaster-relevant information from social media
Proceedings of the 22nd international conference on World Wide Web companion
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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This paper describes ongoing work with the Australian Government to detect, assess, summarise, and report messages of interest for crisis coordination published by Twitter. The developed platform and client tools, collectively termed the Emergency Situation Awareness - Automated Web Text Mining (ESA-AWTM) system, demonstrate how relevant Twitter messages can be identified and utilised to inform the situation awareness of an emergency incident as it unfolds. A description of the ESA-AWTM platform is presented detailing how it may be used for real life emergency management scenarios. These scenarios are focused on general use cases to provide: evidence of pre-incident activity; near-real-time notification of an incident occurring; first-hand reports of incident impacts; and gauging the community response to an emergency warning. Our tools have recently been deployed in a trial for use by crisis coordinators.