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

로치오 알고리즘을 이용한 학술지 논문의 디스크 립터 자동부여에 관한 연구

  • 김판준 (연세대학교 문헌정보학과)
  • Published : 2006.09.29

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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