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The effect of subject matter on the automatic indexing of full text

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  • Mary E. Rowbottom
  • Peter Willett

Abstract

A recently suggested method for the automatic indexing of full text is applied to extracts from the Brown Corpus. Scientific and technological extracts are found to give rise to a much larger number of index terms than humanities and social science extracts. These results would appear to arise from differences in the word frequency distributions for each type of subject.

Suggested Citation

  • Mary E. Rowbottom & Peter Willett, 1982. "The effect of subject matter on the automatic indexing of full text," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 33(3), pages 139-141, May.
    • Handle: RePEc:bla:jamest:v:33:y:1982:i:3:p:139-141
    DOI: 10.1002/asi.4630330306
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