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A Study on the Automatic Descriptor Assignment for Scientific Journal Articles Using Rocchio Algorithm

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2006, 23(3), pp.69~90
  • DOI : 10.3743/KOSIM.2006.23.3.069
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 9, 2006
  • Accepted : September 18, 2006
  • Published : September 30, 2006

Kim, Pan Jun 1

1신라대학교

Accredited

ABSTRACT

Several performance factors which have applied to the automatic indexing with controlled vocabulary and text categorization based on Rocchio algorithm were examined, and the simple method for performance improvement of them were tried. Also, results of the methods using Rocchio algorithm were compared with those of other learning based methods on the same conditions. As a result, keeping with the strong points which are implementational easiness and computational efficiency, the methods based Rocchio algorithms showed equivalent or better results than other learning based methods(SVM, VPT, NB). Especially, for the semi-automatic indexing(computer-aided indexing), the methods using Rocchio algorithm with a high recall level could be used preferentially.

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