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|Title: ||Real-time detection, tracking, and monitoring of automatically discovered events in social media|
|Authors: ||Osborne, Miles|
Von Lunen, Alexander
Sykora, Martin D.
|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
|Version: ||Accepted for publication|
|Publisher Link: ||http://acl2014.org/acl2014/index.html|
|Appears in Collections:||Conference Papers (Business School)|
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