Document Type

Article

Publication Date

12-2007

Abstract

In this research, the development of a `concept-clumping algorithm' designed to improve the clustering of technical concepts is demonstrated . The algorithm developed first identifies a list of technically relevant noun phrases from a cleaned extracted list and then applies a rule-based algorithm for identifying synonymous terms based on shared words in each term. An assessment of the algorithm found that the algorithm has an 89—91% precision rate, was successful in moving technically important terms higher in the term frequency list, and improved the technical specificity of term clusters.

Journal Name

Journal of Information Science

Comments

This is an author-produced, peer-reviewed version of this article. The final, definitive version of this document can be found online at Journal of Information Science, published by SAGE. Copyright restrictions may apply.

http://jis.sagepub.com/content/33/6/660

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