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

被引:0
|
作者
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
O'Brien, Ann
机构
基金
英国工程与自然科学研究理事会;
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We introduce ReDites, a system for real-time 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.
引用
收藏
页码:37 / 42
页数:6
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