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Ahonen, Helena – Library Trends, 1999
Presents a method for extracting maximal frequent sequences in a set of documents. A maximal frequent sequence is a sequence of words that is frequent in the document collection and is not contained in any other longer frequent sequence. Frequent maximal sequences can be used as content descriptors for documents. (MES)
Descriptors: Bibliographic Databases, Bibliometrics, Computational Linguistics, Content Analysis
Peer reviewed Peer reviewed
He, Qin – Library Trends, 1999
Based on coexistence frequency of pairs of words or phrases, coword analysis is used to discover linkages among subjects in a research field and thus to trace the development of science. This article reviews the development of coword analysis, summarizes the advantages and disadvantages of this method, and discusses several research issues.…
Descriptors: Bibliographic Databases, Bibliometrics, Computational Linguistics, Content Analysis
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Qin, Jian – Library Trends, 1999
An example of semantic pattern analysis, based on keywords selected from documents grouped by bibliographical coupling, is used to demonstrate the methodological aspects of knowledge discovery in bibliographic databases. Frequency distribution patterns suggest the existence of a common intellectual base with a wide range of specialties and…
Descriptors: Bibliographic Coupling, Bibliographic Databases, Bibliometrics, Biomedicine