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A Case Study for Monitoring Fires with Twitter
2015
International Conference on Information Systems for Crisis Response and Management
This paper presents a user configurable monitoring system to track in near-realtime tweets describing fire events. The system targets fire related words in a user defined region of interest published on Twitter which are further processed by a text classifier to determine if they describe a known fire event of interest. The system was motivated from a case study that examined a corpus of tweets posted during active bushfires. This demonstrated that useful information is available on Twitter
dblp:conf/iscram/PowerRCC15
fatcat:hdtty2jmfbefbift2mrprdmihq