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Modeling and predicting the popularity of online news based on temporal and content-related features

dc.contributor.authorVan Canneyt, Steven
dc.contributor.authorLeroux, Philip
dc.contributor.authorDhoedt, Bart
dc.contributor.authorDemeester, Thomas
dc.date.accessioned2021-10-26T06:27:03Z
dc.date.available2021-10-26T06:27:03Z
dc.date.issued2018-01
dc.identifier.issn1380-7501
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/32015
dc.sourceIIOimport
dc.titleModeling and predicting the popularity of online news based on temporal and content-related features
dc.typeJournal article
dc.contributor.imecauthorLeroux, Philip
dc.contributor.imecauthorDhoedt, Bart
dc.contributor.imecauthorDemeester, Thomas
dc.contributor.orcidimecDhoedt, Bart::0000-0002-7271-7479
dc.contributor.orcidimecDemeester, Thomas::0000-0002-9901-5768
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1409
dc.source.endpage1436
dc.source.journalMultimedia Tools and Applications
dc.source.issue1
dc.source.volume77
dc.identifier.urlhttps://link.springer.com/article/10.1007/s11042-017-4348-z
imec.availabilityPublished - open access
imec.internalnotes


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