An evidential reasoning based LSA approach to document classification for knowledge acquisition

R. Mohamed, J. Watada

    研究成果: Conference contribution

    5 被引用数 (Scopus)

    抄録

    Web is one of major information sources. Failure in proper management of knowledge leads to incorrect results returned by search engines. Therefore, the web should have an effective information retrieval system to improve the correctness of retrieval results. This study provides a method to assign a new document to the fittest category out of predefined categories, where latent semantic analysis (LSA) is used to evaluate each term in documents, the similarity between terms and documents as well as the one between terms and categories. The objective of our method is to fuse evidential reasoning method with LSA which can assign a new document to a predefined category. The method provides better results in performance of classification comparing to the fusion of an evidential reasoning approach with term frequency inverse document frequency (TFIDF).

    本文言語English
    ホスト出版物のタイトルIEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
    ページ1092-1096
    ページ数5
    DOI
    出版ステータスPublished - 2010
    イベントIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010 - Macao
    継続期間: 2010 12 72010 12 10

    Other

    OtherIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010
    CityMacao
    Period10/12/710/12/10

    ASJC Scopus subject areas

    • 産業および生産工学

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