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A study of statistical measures for predicting terms used to index documents

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  • Victor Rosenberg

Abstract

A statistical measure is developed for predicting the terms from a restricted vocabulary that will be used to index a document, given that one of the index terms is known. The results indicate that a large proportion of terms can be predicted using co‐occurrence data and that the best method of ordering the terms ranks them first in descending order of co‐occurrence frequency and then breaks ties in descending order of total frequency. The central assumption is that data from a previously indexed collection can be useful in predicting the terms to be assigned to a new document. The procedure for presenting an indexer with computer‐produced ordered lists of suggested index terms in response to an initial term choice could be implemented in an interactive man‐machine environment.

Suggested Citation

  • Victor Rosenberg, 1971. "A study of statistical measures for predicting terms used to index documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 22(1), pages 41-50, January.
    • Handle: RePEc:bla:jamest:v:22:y:1971:i:1:p:41-50
    DOI: 10.1002/asi.4630220106
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