Leveraging Language Representation Learning and Semantic Features for Improving Hashtag Recommendation on Microblogging Platforms

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dc.contributor.advisorEl Habib Nfaoui
dc.contributor.authorBen-Lhachemi Nada
dc.date.accessioned2026-09-07T08:58:49Z
dc.date.issued2020
dc.description.cedocSciences et Technologies de l’Information et de la Communication
dc.description.collaboratorOmar El Beqqali
dc.description.collaboratorMohamed Youssfi
dc.description.collaboratorHajar Mousannif
dc.description.collaboratorChakir Loqman
dc.description.collaboratorAbdelbaki El Belrhiti El Alaoui
dc.description.collaboratorJaouad Boumhidi
dc.description.collaboratorHassan Satori
dc.description.laboratoireLaboratoire d'Informatique, Signaux, Automatique et Cognitivisme (LISAC)
dc.identifier.urihttps://toubkal.imist.ma/handle/123456789/684
dc.identifier.urihttps://doi.org/10.83129/toubkal-26759
dc.language.isoen
dc.publisherFaculté des Sciences - Dhar El Mahraz - Fèsfr_FR
dc.subjectlanguage representation learningfr_FR
dc.subjectsemantic featuresfr_FR
dc.subjecthashtag recommendationfr_FR
dc.subjectmicrobloggingfr_FR
dc.subjectnatural language processingfr_FR
dc.subjectmachine learningfr_FR
dc.titleLeveraging Language Representation Learning and Semantic Features for Improving Hashtag Recommendation on Microblogging Platformsfr_FR

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