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Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations

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dc.contributor.authorJaegul Choo-
dc.date.accessioned2021-08-28T00:29:09Z-
dc.date.available2021-08-28T00:29:09Z-
dc.date.created2021-04-22-
dc.date.issued2018-04-25-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/19575-
dc.publisherInternational World Wide Web Conferences Steering Committee (IW3C2)-
dc.titleShort-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations-
dc.title.alternativeShort-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations-
dc.typeConference-
dc.contributor.affiliatedAuthorJaegul Choo-
dc.identifier.bibliographicCitationWorld Wide Web Conference-
dc.relation.isPartOfWorld Wide Web Conference-
dc.relation.isPartOfWorld Wide Web Conference-
dc.citation.titleWorld Wide Web Conference-
dc.citation.conferencePlaceFR-
dc.citation.conferenceDate2018-04-23-
dc.type.rimsCONF-
dc.description.journalClass1-
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