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Real-time timeline summarisation for high-impact events in Twitter
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Zhou, Yiwei, Kanhabua, N. and Cristea, Alexandra I. (2016) Real-time timeline summarisation for high-impact events in Twitter. In: ECAI 2016, The Hague, The Netherlands, 29 Aug - 2 Sep 2016. Published in: Proceedings of the 22nd European Conference on Artificial Intelligence, 285 pp. 1158-1166. ISBN 9781614996712.
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Official URL: http://dx.doi.org/10.3233/978-1-61499-672-9-1158
Abstract
Twitter has become a valuable source of event-related information, namely, breaking news and local event reports. Due to its capability of transmitting information in real-time, Twitter is further exploited for timeline summarisation of high-impact events, such as protests, accidents, natural disasters or disease outbreaks. Such summaries can serve as important event digests where users urgently need information, especially if they are directly affected by the events. In this paper, we study the problem of timeline summarisation of high-impact events that need to be generated in real-time. Our proposed approach includes four stages: classification of real-world events reporting tweets, online incremental clustering, post-processing and sub-events summarisation. We conduct a comprehensive evaluation of different stages on the “Ebola outbreak” tweet stream, and compare our approach with several baselines, to demonstrate its effectiveness. Our approach can be applied as a replacement of a manually generated timeline and provides early alarms for disaster surveillance.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | H Social Sciences > HM Sociology Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Twitter (Firm) -- Data processing, Online social networks, Demonstrations -- Press coverage, Natural disasters -- Press coverage, Epidemics -- Press coverage, Ebola virus disease -- Press coverage, Bad news | ||||||
Series Name: | Frontiers in Artificial Intelligence and Applications | ||||||
Journal or Publication Title: | Proceedings of the 22nd European Conference on Artificial Intelligence | ||||||
Publisher: | IOS Press | ||||||
ISBN: | 9781614996712 | ||||||
Official Date: | 24 August 2016 | ||||||
Dates: |
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Volume: | 285 | ||||||
Page Range: | pp. 1158-1166 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 3 October 2016 | ||||||
Date of first compliant Open Access: | 3 October 2016 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | ECAI 2016 | ||||||
Type of Event: | Conference | ||||||
Location of Event: | The Hague, The Netherlands | ||||||
Date(s) of Event: | 29 Aug - 2 Sep 2016 | ||||||
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