Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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A Automatic Document Summarization Method based on Principal Component Analysis

  • Kim, Min-Soo (Department of Statistics, Chonnam National University) ;
  • Lee, Chang-Beom (Department of Computer and Information Science, Chonnam National University) ;
  • Baek, Jang-Sun (Department of Statistics, Chonnam National University) ;
  • Lee, Guee-Sang (Department of Computer and Information Science, Information and Telecommunication Research Institute, Chonnam National University) ;
  • Park, Hyuk-Ro (Department of Computer and Information Science, Information and Telecommunication Research Institute, Chonnam National University)
  • Published : 2002.08.01
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Abstract

In this paper, we propose a automatic document summarization method based on Principal Component Analysis(PCA) which is one of the multivariate statistical methods. After extracting thematic words using PCA, we select the statements containing the respective extracted thematic words, and make the document summary with them. Experimental results using newspaper articles show that the proposed method is superior to the method using either word frequency or information retrieval thesaurus.

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References

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