Dynamic Spatio-Temporal Tweet Mining for Event Detection: A Case Study of Hurricane Florence

Dynamic Spatio-Temporal Tweet Mining for Event Detection: A Case Study of Hurricane Florence

Abstract Extracting information about emerging events in large study areas through spatiotemporal and textual analysis of geotagged tweets provides the possibility of monitoring the current state of a disaster. This study proposes dynamic spatio-temporal tweet mining as a method for dynamic event ex...

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Bibliographic Details
Main Authors: Mahdi Farnaghi, Zeinab Ghaemi, Ali Mansourian
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:International Journal of Disaster Risk Science
Subjects:
Disaster management
Hurricane Florence
Natural language processing
Spatio-temporal tweet analysis
Tweet clustering
Twitter
Online Access:https://doi.org/10.1007/s13753-020-00280-z

Internet

https://doi.org/10.1007/s13753-020-00280-z

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