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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/16453

Title: Real-time detection, tracking, and monitoring of automatically discovered events in social media
Authors: Osborne, Miles
Moran, Sean
McCreadie, Richard
Von Lunen, Alexander
Sykora, Martin D.
Cano, Elizabeth
Ireson, Neil
MacDonald, Craig
Ounis, Iadh
He, Yulan
Jackson, Thomas
Ciravegna, Fabio
O'Brien, Ann
Issue Date: 2014
Publisher: Association for Computational Linguistics / © The Authors
Citation: OSBORNE, M. ... et al, 2014. Real-time detection, tracking, and monitoring of automatically discovered events in social media. IN: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 23rd-24th June 2014, Baltimore, Maryland, USA. Association for Computational Linguistics, pp. 37-42.
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.
Description: This conference paper was presented at The 52nd Annual Meeting of the Association for Computational Linguistics.
Sponsor: This work was funded by EPSRC grant EP/L010690/1. MO also acknowledges support from grant ERC Advanced Fellowship 249520 GRAMPLUS.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/16453
Publisher Link: http://acl2014.org/acl2014/index.html
ISBN: 9781941643006
Appears in Collections:Conference Papers (Business School)

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