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 & Humanities > School of Humanities > Information Studies |
| Publisher: | Springer |
| ISBN: | 9789048191772 |
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