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

dc.contributor.author	Van Canneyt, Steven
dc.contributor.author	Leroux, Philip
dc.contributor.author	Dhoedt, Bart
dc.contributor.author	Demeester, Thomas
dc.contributor.imecauthor	Leroux, Philip
dc.contributor.imecauthor	Dhoedt, Bart
dc.contributor.imecauthor	Demeester, Thomas
dc.contributor.orcidimec	Dhoedt, Bart::0000-0002-7271-7479
dc.contributor.orcidimec	Demeester, Thomas::0000-0002-9901-5768
dc.date.accessioned	2021-10-26T06:27:03Z
dc.date.available	2021-10-26T06:27:03Z
dc.date.embargo	9999-12-31
dc.date.issued	2018-01
dc.identifier.issn	1380-7501
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/32015
dc.identifier.url	https://link.springer.com/article/10.1007/s11042-017-4348-z
dc.source.beginpage	1409
dc.source.endpage	1436
dc.source.issue	1
dc.source.journal	Multimedia Tools and Applications
dc.source.volume	77
dc.title	Modeling and predicting the popularity of online news based on temporal and content-related features
dc.type	Journal article
dspace.entity.type	Publication
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