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Peer reviewed Peer reviewed
Rush, J. E.; And Others – Journal of the American Society for Information Science, 1971
The abstracts obtained so far are of sufficiently good quality to indicate that large-scale testing of the methods of the automatic abstracting system is warranted. (Author/MM)
Descriptors: Abstracting, Automatic Indexing, Automation, Content Analysis
Cornell Univ., Ithaca, NY. Dept. of Computer Science. – 1970
Four papers are included in Part One of the eighteenth report on Salton's Magical Automatic Retriever of Texts (SMART) project. The first paper: "Content Analysis in Information Retrieval" by S. F. Weiss presents the results of experiments aimed at determining the conditions under which content analysis improves retrieval results as well…
Descriptors: Automatic Indexing, Automation, Citations (References), Content Analysis
Peer reviewed Peer reviewed
Maeda, Takashi; And Others – Information Processing and Management, 1980
Describes an automatic method, based upon a text structure analysis and using a relatively small dictionary, to extract significant phrases from the title and the abstract of scientific and technical documents. The information representation of the document is discussed with relation to the construction of the document information retrieval…
Descriptors: Abstracts, Automatic Indexing, Content Analysis, Information Processing
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 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
Fagan, Joel L. – Journal of the American Society for Information Science, 1989
Describes the possible improvements in the quality of automatic indexing systems gained by using complex descriptors, and reports on the effectiveness of a simple nonsyntactic phrase indexing procedure. The discussion covers shortcomings of this approach, possible methods for improvement, and areas needing further research. (43 references) (CLB)
Descriptors: Automatic Indexing, Comparative Analysis, Computational Linguistics, Content Analysis
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
Cornell Univ., Ithaca, NY. Dept. of Computer Science. – 1970
Part One, Automatic Content Analysis contains: "Content Analysis in Information Retrieval;""The 'Generality' Effect and the Retrieval Evaluation for Large Collections;""Automatic Indexing Using Bibliographic Citations" and "Automatic Resolution of Ambiguities from Natural Language Text." Part Two, Automatic…
Descriptors: Automatic Indexing, Automation, Classification, Content Analysis