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Details for 'Practical Content Analysis Techniques for Text-Retrieval in Large, Un-tagged Text-bases'

Practical Content Analysis Techniques for Text-Retrieval in Large, Un-tagged Text-bases

Screenshot von Practical Content Analysis Techniques for Text-Retrieval in Large, Un-tagged Text-bases

Paper by Raymond G. Siemens, Department of English, University of British Columbia, published in Proceedings of the 11th annual international conference on Systems documentation

Abstract:

“This paper intends to provide a practical response to concerns regarding the retrieval of specific information from electronic text-bases which have no or minimal text markup. It proposes that standard techniques employed by social scientists and others involved in computer-assisted content analysis be adapted to assist in text-retrieval, and provides the context necessary to employ such techniques.”

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