1988.Term-weighting_approaches_in_automatic_te资料.pdfVIP

Information Processing Management Vol. 24, No. 5, pp. 513-523, 1988 0306-457x78 $3.00 + .oa Printed in Great Britain. Copyright 0 1988 Pergamon Press plc TERM-WEIGHTING APPROACHES IN AUTOMATIC TEXT RETRIEVAL GERARD SALTONand CHRISTOPHER BUCKLEY Department of Computer Science, Cornell University, Ithaca, NY 14853, USA (Received 19 November 1987; accepted in final form 26 January 1988) Abstract-The experimental evidence accumulated over the past 20 years indicates that text indexing systems based on the assignment of appropriately weighted single terms produce retrieval results that are superior to those obtainable with other more elaborate text representations. These results depend crucially on the choice of effective term- weighting systems. This article summarizes the insights gained in automatic term weight- ing, and provides baseline single-term-indexing models with which other more elaborate content analysis procedures can be compared. 1. AUTOMATIC TEXT ANALYSIS In the late 195Os, Luhn [l] first suggested that automatic text retrieval systems could be designed based on a comparison of content identifiers attached both to the stored texts and to the use