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.
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van Kasteren, T.L.M., Ulrich, B., Srinivasan, V., Niessen, M.E. (2014). Analyzing Tweets to Aid Situational Awareness. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_79
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DOI: https://doi.org/10.1007/978-3-319-06028-6_79
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06027-9
Online ISBN: 978-3-319-06028-6
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