Classification of scientific documents by means of self‐generated groups employing free language

R. D. Feinman and K. L. Kwok

Journal of the American Society for Information Science, 1973, vol. 24, issue 5, 382-396

Abstract: A study was undertaken to classify mechanically a document collection using the free‐language words in the titles and abstracts of a corpus of 261 physics research papers. Using a clustering algorithm, results were obtained which closely duplicated the clusters obtained by previous experiments with citations. A brief comparison is made with a traditional manual classification system. It is shown that the mechanical procedure is capable of achieving simultaneous average relevance and recall figures above 80%.

Date: 1973
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:24:y:1973:i:5:p:382-396

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