Examining variations of prominent features in genre classification

Kim, Y. and Ross, S. (2008) Examining variations of prominent features in genre classification. In: 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), Hawaii, 7-10 Jan 2008, p. 132. ISBN 9780769530758 (doi:10.1109/HICSS.2008.157)

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Publisher's URL: http://dx.doi.org/10.1109/HICSS.2008.157

Abstract

This paper investigates the correlation between features of three types (visual, stylistic and topical types) and genre classes. The majority of previous studies in automated genre classification have created models based on an amalgamated representation of a document using a combination of features. In these models, the inseparable roles of different features make it difficult to determine a means of improving the classifier when it exhibits poor performance in detecting selected genres. In this paper we use classifiers independently modeled on three groups of features to examine six genre classes to show that the strongest features for making one classification is not necessarily the best features for carrying out another classification.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Kim, Dr Yunhyong and Ross, Professor Seamus
Authors: Kim, Y., and Ross, S.
Subjects:Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
College/School:College of Arts > School of Humanities > Information Studies
Research Group:Digital Curation Centre
Publisher:IEEE Computer Society
ISSN:1530-1605
ISBN:9780769530758
Copyright Holders:Copyright © 2008 Institute of Electrical and Electronics Engineers
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.
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