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INDEX: The statistical basis for an automatic conceptual phrase‐indexing system

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  • Leslie P. Jones
  • Edward W. Gassie, Jr.
  • Sridhar Radhakrishnan

Abstract

In recent years researchers have become increasingly convinced that the performance of information retrieval systems can be greatly enhanced by the use of key phrases for automatic conceptual document indexing and retrieval. In this article we describe two programs, INDEX and INDEXD, which locate repeated phrases in a document, gather statistical information about them, and rank them according to their value as index phrases. The programs show promise as the basis for a sophisticated conceptual indexing system. The simpler program, INDEX, ranks phrases in such a way that frequently occurring phrases which contain several frequently occurring words are given a high ranking. INDEXD is an extension of INDEX which incorporates a dictionary for stemming, weighting of words and validation of syntax of output phrases. Sample output of both programs is included, and we discuss plans to combine INDEXD with linguistic and artificial intelligence techniques to provide a general conceptual phrase‐indexing system that can incorporate expert knowledge about a given application area. © 1990 John Wiley & Sons, Inc.

Suggested Citation

  • Leslie P. Jones & Edward W. Gassie, Jr. & Sridhar Radhakrishnan, 1990. "INDEX: The statistical basis for an automatic conceptual phrase‐indexing system," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(2), pages 87-97, March.
    • Handle: RePEc:bla:jamest:v:41:y:1990:i:2:p:87-97
    DOI: 10.1002/(SICI)1097-4571(199003)41:23.0.CO;2-8
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