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Eigenvector Space Model To Capture Features Of Documents

Author

Listed:
  • DONGJIN, Choi

    (Department of Computer Engineering Chosun University)

  • PANKOO, Kim

    (Department of Computer Engineering Chosun University)

Abstract

Eigenvectors are a special set of vectors associated with a linear system of equations. Because of the special property of eigenvector, it has been used a lot for computer vision area. When the eigenvector is applied to information retrieval field, it is possible to obtain properties of documents data corpus. To capture properties of given documents, this paper conducted simple experiments to prove the eigenvector is also possible to use in document analysis. For the experiment, we use short abstract document of Wikipedia provided by DBpedia as a document corpus. To build an original square matrix, the most popular method named tf-idf measurement will be used. After calculating the eigenvectors of original matrix, each vector will be plotted into 3D graph to find what the eigenvector means in document processing.

Suggested Citation

  • DONGJIN, Choi & PANKOO, Kim, 2011. "Eigenvector Space Model To Capture Features Of Documents," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 2(3), pages 73-80.
    • Handle: RePEc:ris:sphecs:0145
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    Keywords

    C83;

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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