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dc.contributor.authorParker, K.
dc.contributor.authorWilliams, Robert
dc.contributor.authorNitse, P.
dc.contributor.authorTay, A.
dc.identifier.citationParker, Kevin and Williams, Robert and Nitse, Philip and Tay, Albert. 2008. Use of normalized word vector approach in document classification for an LKMC. Journal of Issues in Informing Science and Information Technology. 5: pp. 513-524.

In order to realize the objective of expanding library services to provide knowledge managementsupport for small businesses, a series of requirements must be met. This particular phase of a largerresearch project focuses on one of the requirements: the need for a document classificationsystem to rapidly determine the content of digital documents. Document classification techniquesare examined to assess the available alternatives for realization of Library Knowledge ManagementCenters (LKMCs). After evaluating prominent techniques the authors opted to investigate aless well-known method, the Normalized Word Vector (NWV) approach, which has been usedsuccessfully in classifying highly unstructured documents, i.e., student essays. The authors proposeutilizing the NWV approach for LKMC automatic document classification with the goal ofdeveloping a system whereby unfamiliar documents can be quickly classified into existing topiccategories. This conceptual paper will outline an approach to test NWV's suitability in this area.

dc.publisherInforming Science Institute
dc.subjectSmall enterprises
dc.subjectKnowledge management
dc.subjectLibrary as Knowledge Management Center
dc.subject- Normalized Word Vector
dc.subjectDocument classification
dc.subjectCompetitive intelligence
dc.subjectDigital libraries
dc.titleUse of normalized word vector approach in document classification for an LKMC
dc.typeJournal Article
dcterms.source.titleJournal of Issues in Informing Science and Information Technology

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curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems

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