The clustering power of low frequency words in academic Webs: Brief Communication

Authors:
Liz Price;Mike Thelwall
Affiliations:
School of Computing and Information Technology, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1SB, United Kingdom;School of Computing and Information Technology, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1SB, United Kingdom
Venue:
Journal of the American Society for Information Science and Technology
Year:
2005

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Abstract

The value of low frequency words for subject-based academic Web site clustering is assessed. A new technique is introduced to compare the relative clustering power of different vocabularies. The technique is designed for word frequency tests in large document clustering exercises. Results for the Australian and New Zealand academic Web spaces indicate that low frequency words are useful for clustering academic Web sites along subject lines; removing low frequency words results in sites becoming, on average, less dissimilar to sites from other subjects. © 2005 Wiley Periodicals, Inc.