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

Mary E. Rowbottom and Peter Willett

Journal of the American Society for Information Science, 1982, vol. 33, issue 3, 139-141

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.

Date: 1982
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:33:y:1982:i:3:p:139-141

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