Content analysis as a word-processing option

  • Authors:

  • John M. Carroll

  • Affiliations:

  • University of Western Ontario, London, Canada

  • Venue:
  • SIGIR '81 Proceedings of the 4th annual international ACM SIGIR conference on Information storage and retrieval: theoretical issues in information retrieval
  • Year:
  • 1981

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Abstract

A simple content-analysis program incorporated in a word-processing system can display the most significant sentence of a page of text and give a short list of the more important words. This could help authors write titles, summaries, and descriptor lists. The content-analysis program relies on word frequency, precedence, and co-occurrence as indicators of content significance. Test show it performs at least as well as some trained indexers.