Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media

Osborne, Miles, Moran, Sean, McCreadie, Richard, von Lunen, Alexander, Sykora, Martin, Cano, Elizabeth, Ireson, Neil, Macdonald, Craig, Ounis, Iadh, He, Yulan, Jackson, Tom, Ciravegna, Fabio and O'Brien, Ann (2014) Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. In: Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations. ACL 2014 . Association for Computational Linguistics, Baltimore, Maryland, pp. 37-42. ISBN 978-1-941643-00-6

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Abstract

We introduce ReDites, a system for realtime
event detection, tracking, monitoring
and visualisation. It is designed to assist
Information Analysts in understanding
and exploring complex events as they
unfold in the world. Events are automatically
detected from the Twitter stream.
Then those that are categorised as being
security-relevant are tracked, geolocated,
summarised and visualised for the
end-user. Furthermore, the system tracks
changes in emotions over events, signalling
possible flashpoints or abatement.
We demonstrate the capabilities of ReDites
using an extended use case from the
September 2013 Westgate shooting incident.
Through an evaluation of system latencies,
we also show that enriched events
are made available for users to explore
within seconds of that event occurring.

Item Type:	Book Chapter
Subjects:	Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Schools:	School of Music, Humanities and Media
Related URLs:	Author Conference Publisher
Depositing User:	Alexander Von Lunen
Date Deposited:	13 Jan 2015 09:27
Last Modified:	29 Mar 2018 14:30
URI:	http://eprints.hud.ac.uk/id/eprint/22915

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