Formulating representative features with respect to genre classification

Kim, Y. and Ross, S. (2011) Formulating representative features with respect to genre classification. In: Mehler, A., Sharoff, S. and Santini, M. (eds.) Genres on the Web: Computational Models and Empirical Studies. Series: Text, speech and language technology (42). Springer, pp. 129-147. ISBN 9789048191772 (doi:10.1007/978-90-481-9178-9_6)

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Publisher's URL: http://dx.doi.org/10.1007/978-90-481-9178-9_6

Abstract

Document classification is one of the most fundamental steps in enabling the search, selection, and ranking of digital material according to its relevance in answering a predefined search. As such it is a valuable means of knowledge discovery and an essential part of the effective and efficient management of digital documents in a repository, library, or archive.

Item Type:Book Sections
Status:Published
Glasgow Author(s) Enlighten ID:Kim, Dr Yunhyong and Ross, Professor Seamus
Authors: Kim, Y., and Ross, S.
Subjects:T Technology > T Technology (General)
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
College/School:College of Arts > School of Humanities > Information Studies
Publisher:Springer
ISBN:9789048191772

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
374177National Digital Curation Centre (NDCC)Seamus RossJoint Information Systems Committee (JISC)LOCKSSHumanities Advanced Technology and Information Institute