dc.contributor.authorMa, Zongyang
dc.contributor.authorSun, Aixin
dc.contributor.authorCong, Gao
dc.date.accessioned2013-07-24T06:21:02Z
dc.date.available2013-07-24T06:21:02Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationMa, Z., Sun, A., & Cong, G. (2012). Will this #hashtag be popular tomorrow?. Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12.en_US
dc.identifier.urihttp://hdl.handle.net/10220/12106
dc.description.abstractHashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a hashtag that has the potential to be popular in the next day, we construct a hashtag profile using the tweets containing the hashtag, and extract both content and context features for hashtag popularity prediction. We model this prediction problem as a classification problem and evaluate the effectiveness of the extracted features and classification models.en_US
dc.language.isoenen_US
dc.rights© 2012 The Authors.en_US
dc.subjectDRNTU::Engineering::Computer science and engineering
dc.titleWill this #hashtag be popular tomorrow?en_US
dc.typeConference Paper
dc.contributor.conferenceInternational conference on Research and development in information retrieval (35th : 2012)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1145/2348283.2348525


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