A theory of term importance in automatic text analysis
作者:
G. Salton,
C. S. Yang,
C. T. Yu,
期刊:
Journal of the American Society for Information Science
(WILEY Available online 1975)
卷期:
Volume 26,
issue 1
页码: 33-44
ISSN:0002-8231
年代: 1975
DOI:10.1002/asi.4630260106
出版商: Wiley Subscription Services, Inc., A Wiley Company
数据来源: WILEY
摘要:
AbstractA good deal of work has been done over the years in an attempt to use statistical or probabilistic techniques as a basis for automatic indexing and content analysis. (1–10) Unfortunately, many of these methods are lacking in effectiveness, and the more refined procedures are computationally unattractive.A new technique, known as discrimination value analysis, ranks the text words in accordance with how well they are able to discriminate the documents of a collection from each other; that is, the value of a term depends on how much the average separation between individual documents changes when the given term is assigned for content identification. The best words are those which achieve the greatest separation.The discrimination value analysis is computationally simple, and it assigns a specific role in content analysis to single words, juxtaposed words and phrases, and word groups or thesaurus categories. Experimental results are given showing the effectiveness of the techniqu
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