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Peer reviewedSalton, G. – Journal of the American Society for Information Science, 1972
A new testing process is described. The design of the test procedure is covered in detail, and the several language processing features incorporated into the SMART system are individually evaluated. (20 references) (Author)
Descriptors: Automatic Indexing, Comparative Testing, Indexing, Information Processing
Peer reviewedSalton, G.; And Others – Information Processing and Management, 1976
These two indexing systems are briefly described and experimental evidence is cited showing that a combination of both theories produces better retrieval performance than either one alone. Appropriate conclusions are reached concerning viable automatic indexing procedures usable in practice. (Author)
Descriptors: Automatic Indexing, Information Retrieval, Models, Subject Index Terms
Download full textSalton, G.; And Others – 1974
In a document retrieval, or other pattern matching environment where stored entities (documents) are compared with each other, or with incoming patterns (search requests), it appears that the best indexing (property) space is one where each entity lies as far away from the others as possible; that is, retrieval performance correlates inversely…
Descriptors: Automatic Indexing, Information Retrieval, Information Science, Information Theory
Peer reviewedAnd Others; Salton, G. – Journal of the American Society for Information Science, 1975
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. (Author/PF)
Descriptors: Automatic Indexing, Databases, Discriminant Analysis, Information Processing
Peer reviewedSalton, G.; And Others – Journal of the American Society for Information Science, 1981
Reviews major term-weighting theories, presents methods for estimating the relevance properties of terms based on their frequency characteristics in a document collection, and compares weighting systems using term relevance properties with more conventional frequency-based methodologies. Eighteen references are cited. (Author/FM)
Descriptors: Automatic Indexing, Bibliographies, Information Retrieval, Methods
Yu, C. T.; Salton, G. – 1975
Formal proofs are given of the effectiveness under well-defined conditions of the thesaurus method in information retrieval. It is shown, in particular, that when certain semantically related terms are added to the information queries originally submitted by the user population, a superior retrieval system is obtained in the sense that for every…
Descriptors: Automatic Indexing, Information Retrieval, Information Storage, Mathematical Models
Salton, G.; And Others – 1974
Most existing automatic content analysis and indexing techniques are based on work frequency characteristics applied largely in an ad hoc manner. Contradictory requirements arise in this connection, in that terms exhibiting high occurrence frequencies in individual documents are often useful for high recall performance (to retrieve many relevant…
Descriptors: Automatic Indexing, Automation, Content Analysis, Discriminant Analysis
Peer reviewedSalton, G.; Zhang, Y. – Information Processing and Management, 1986
Briefly reviews various methodologies for constructing enhanced document representations, discusses their general lack of usefulness, and describes a method of document indexing which uses title words taken from bibliographically related items. Evaluation of this process indicates that it is not sufficiently reliable to warrant incorporation into…
Descriptors: Automatic Indexing, Bibliographic Coupling, Citations (References), Content Analysis
