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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
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
Maron, M.E.; Shoffner, R.M. – 1969
This report presents the principal objectives and results of the Context Information Processing Project and discusses the nature of context and its relationship to conventional models of information storage and retrieval. In this approach literature searching involves prediction, and context represents a new class of clues to be obtained and…
Descriptors: Content Analysis, Context Clues, Indexing, Information Processing
Rogove, Linda – Drexel Library Quarterly, 1972
Stylistic analysis or attribution study is a very different kind of indexing. Instead of indexing subjects, it measures such things as the frequencies of common words such as and" and the". These studies reveal a great deal about consistency, methodology, and the approaches used for documents in the humanities. (41 references) (Author/NH)
Descriptors: Attribution Theory, Authors, Content Analysis, Humanities
Peer reviewed Peer reviewed
Rosenberg, Victor – Journal of the American Society for Information Science, 1971
The experimental results obtained by testing the main hypotheses indicated that there was no difference between the two indexing methods compared, indexing from an alphabetical list alone, and indexing with the suggestion lists as a supplement to the alphabetical list. (Author/MM)
Descriptors: Content Analysis, Evaluation, Indexing, Information Processing
Howder, Murray L. – 1973
People who develop information into a consumable form seem at times to work in a vacuum, failing to consider the potential users. Some helpful tips for preparing documents for easy retrieval and use, based upon guidelines followed in the Educational Resources Information Center (ERIC) system, are presented. The three major areas of evaluation are…
Descriptors: Abstracting, Content Analysis, Documentation, Evaluation Criteria
Katter, Robert V. – 1968
Document searching systems, such as those in libraries, are comprised of chains of components that transmit information. The components consist of mechanisms for doing classification, indexing, abstracting and cataloging of documents, and for converting users' statements of need to expressions suitable for searching the system. Improvement of the…
Descriptors: Abstracting, Automation, Cataloging, Classification
Salton, Gerard – 1974
The twenty-second in a series, this report describes research in information organization and retrieval conducted by the Department of Computer Science at Cornell University. The report covers work carried out during the period summer 1972 through summer 1974 and is divided into four parts: indexing theory, automatic content analysis, feedback…
Descriptors: Algorithms, Computer Programs, Computer Science, Content Analysis