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The clustering power of low frequency words in academic Webs

✍ Scribed by Liz Price; Mike Thelwall

Publisher: John Wiley and Sons
Year: 2005
Tongue: English
Weight: 88 KB
Volume: 56
Category: Article
ISSN: 1532-2882
DOI: 10.1002/asi.20177

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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