NotesFAQContact Us
Collection
Advanced
Search Tips
Education Level
Location
Australia1
India1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 52 results Save | Export
Peer reviewed Peer reviewed
Jones, K. Sparck; Barber, E. O. – Journal of the American Society for Information Science, 1971
The substitution information contained in automatically obtained keyword classification is most effectively exploited when: (1) strong similarity connectives only are utilized, (2) grouping is confined to non-frequent terms, (3) term groups are used to provide additional and not alternative descriptive items and (4) descriptor collection frequency…
Descriptors: Automatic Indexing, Automation, Classification, Information Retrieval
Peer reviewed Peer reviewed
Shaw, W. M., Jr. – Information Processing and Management, 1986
Empirical significance of document partitions is investigated as a function of index term-weight and similarity thresholds. Results show the same empirically preferred partitions can be detected by two independent strategies: an analysis of cluster-based retrieval analysis and an analysis of regularities in the underlying structure of the document…
Descriptors: Automatic Indexing, Graphs, Information Retrieval, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
Jones, K. Sparck; Tait, J. I. – Journal of Documentation, 1984
Describes research designed to improve automatic pre-coordinate term indexing by applying language analysis techniques to identify term sources in requests, and to generate variant expressions of concepts involved for document text searching. Text analysis, term extraction, variant generation, and retrieval trial are highlighted. Thirteen…
Descriptors: Automatic Indexing, Information Retrieval, Online Systems, Relevance (Information Retrieval)
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
Cagan, Carl – J Amer Soc Info Sci, 1970
Introduced are methods for computation of term-term association factors, indexing, assignment of term-document relevance values, and computation for recall and relevance. Recall and relevance are based on quantitative intenal system computations, and results are compared with user evaluations. (Author/MF)
Descriptors: Automatic Indexing, Computers, Information Retrieval, Information Systems
Peer reviewed Peer reviewed
Jones, K. Sparck – Information Processing and Management, 1979
Describes large scale experiments to test the value of index term weighting based on relevance information, and presents results showing that weighting leads to remarkable improvements in retrieval performance. (Author/CWM)
Descriptors: Automatic Indexing, Experiments, Information Retrieval, Performance Factors
Minker, Jack; And Others – Information Storage and Retrieval, 1972
An evaluation of graph theoretical clusters of index terms which can be extracted from an automatically indexed document collection, and the effects of employing such clusters in automatic document retrieval are described. (19 references) (Author)
Descriptors: Automatic Indexing, Cluster Analysis, Data Processing, Information Retrieval
Peer reviewed Peer reviewed
Atlam, El-Sayed; Fuketa, M.; Morita, K.; Aoe, Jun-ichi – Information Processing & Management, 2003
Discussion of text analysis and information retrieval and measurement of document similarity focuses on a new text manipulation system called FA (field association)-Sim that is useful for retrieving information in large heterogeneous texts and for recognizing content similarity in text excerpts. Discusses recall and precision, automatic indexing…
Descriptors: Automatic Indexing, Content Analysis, Information Retrieval, Mathematical Formulas
Peer reviewed Peer reviewed
Deerwester, Scott; And Others – Journal of the American Society for Information Science, 1990
Describes a new method for automatic indexing and retrieval called latent semantic indexing (LSI). Problems with matching query words with document words in term-based information retrieval systems are discussed, semantic structure is examined, singular value decomposition (SVD) is explained, and the mathematics underlying the SVD model is…
Descriptors: Automatic Indexing, Documentation, Factor Analysis, Information Retrieval
Peer reviewed Peer reviewed
Swanson, Don R. – Journal of the American Society for Information Science, 1988
Explores the concept of information retrieval and summarizes the development of information retrieval systems. The role of relevance judgments as a systems test is discussed, principles of what information systems can and cannot be expected to achieve are presented, and areas of research interest are identified. (43 references) (CLB)
Descriptors: Automatic Indexing, Evaluation Criteria, Information Retrieval, Literature Reviews
Peer reviewed Peer reviewed
Dillon, Martin; Gray, Ann S. – Journal of the American Society for Information Science, 1983
Provides background of automatic indexing and overview of Fully Automatic Syntactically based Indexing of Text (FASIT), a system based on idea that content-bearing words belong to certain syntactic categories. Results of comparison of FASIT with thesaurus and stem-based indexing systems on database of 250 documents and 22 queries are summarized.…
Descriptors: Automatic Indexing, Comparative Analysis, Databases, Information Retrieval
Peer reviewed Peer reviewed
Silva, Wagner Teixeira da; Milidiu, Ruy Luiz – Journal of the American Society for Information Science, 1993
Describes the Belief Function Model for automatic indexing and ranking of documents which is based on a controlled vocabulary and on term frequencies in each document. Belief Function Theory is explained, and the Belief Function Model is compared to the Standard Vector Space Model. (17 references) (LRW)
Descriptors: Automatic Indexing, Comparative Analysis, Documentation, Information Retrieval
Peer reviewed Peer reviewed
Salton, Gerard; Buckley, Christopher – Information Processing and Management, 1988
Summarizes the experimental evidence that indicates that text indexing systems based on the assignment of appropriately weighted single terms produce retrieval results superior to those obtained with more elaborate text representations, and provides baseline single term indexing models with which more elaborate content analysis procedures can be…
Descriptors: Automatic Indexing, Comparative Analysis, Content Analysis, Information Retrieval
Peer reviewed Peer reviewed
Salton, 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
Peer reviewed Peer reviewed
Dillon, Martin – Information Processing and Management, 1982
Describes technique for automatic book indexing requiring dictionary of terms with text strings that count as instances of term and text in form suitable for processing by text formatter. Results of experimental application to portion of book text are presented, including measures of precision and recall. Ten references are noted. (EJS)
Descriptors: Automatic Indexing, Books, Computer Oriented Programs, Computer Programs
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4