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AuthorMagdy, Walid
AuthorElsayed, Tamer
Available date2016-12-07T08:38:10Z
Publication Date2016-07
Publication NameInformation Processing & Management
Identifierhttp://dx.doi.org/10.1016/j.ipm.2015.11.004
CitationWalid Magdy, Tamer Elsayed, Unsupervised adaptive microblog filtering for broad dynamic topics, Information Processing & Management, Volume 52, Issue 4, July 2016, Pages 513-528
ISSN03064573
URIhttp://www.sciencedirect.com/science/article/pii/S0306457315001399
URIhttp://hdl.handle.net/10576/5079
AbstractInformation filtering has been a major task of study in the field of information retrieval (IR) for a long time, focusing on filtering well-formed documents such as news articles. Recently, more interest was directed towards applying filtering tasks to user-generated content such as microblogs. Several earlier studies investigated microblog filtering for focused topics. Another vital filtering scenario in microblogs targets the detection of posts that are relevant to long-standing broad and dynamic topics, i.e., topics spanning several subtopics that change over time. This type of filtering in microblogs is essential for many applications such as social studies on large events and news tracking of temporal topics. In this paper, we introduce an adaptive microblog filtering task that focuses on tracking topics of broad and dynamic nature. We propose an entirely-unsupervised approach that adapts to new aspects of the topic to retrieve relevant microblogs. We evaluated our filtering approach using 6 broad topics, each tested on 4 different time periods over 4 months. Experimental results showed that, on average, our approach achieved 84% increase in recall relative to the baseline approach, while maintaining an acceptable precision that showed a drop of about 8%. Our filtering method is currently implemented on TweetMogaz, a news portal generated from tweets. The website compiles the stream of Arabic tweets and detects the relevant tweets to different regions in the Middle East to be presented in the form of comprehensive reports that include top stories and news in each region.
SponsorNPRP grant# NPRP 6-1377-1-257 from the Qatar National Research Fund (a member of Qatar Foundation).
Languageen
PublisherElsevier
SubjectTwitter
Microblog filtering
Unsupervised adaptive filtering
Broad dynamic topics
Arabic tweets
TitleUnsupervised adaptive microblog filtering for broad dynamic topics
TypeArticle
Pagination513-528
Issue Number4
Volume Number52


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