Abstract
Social media networks can be used to gather near real-time information about safety and security events. In this paper we analyze Twitter data that was captured around fifteen real world safety and security events and use a number of analytical tools to help understand the effectiveness of certain features for event detection and to study how this data can be used to aid situational awareness. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Van Kasteren, T. L. M., Ulrich, B., Srinivasan, V., & Niessen, M. E. (2014). Analyzing tweets to aid situational awareness. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8416 LNCS, pp. 700–705). Springer Verlag. https://doi.org/10.1007/978-3-319-06028-6_79
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