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Title page for etd-0522107-161916


URN etd-0522107-161916 Statistics This thesis had been viewed 3011 times. Download 1236 times.
Author Ming-Lung Sun
Author's Email Address No Public.
Department Computer Science and Enginerring
Year 2005 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 60
Title Automatic Classification of Profession Descriptions
Keyword
  • XML
  • Document classification
  • Vector Space Model
  • Vector Space Model
  • Document classification
  • XML
  • Abstract Classification means the determination of subject content. In tradition, the work of documentation classification is assigned by manual (document specialist).
    However, it costs a lot of resource. The automatic document classification is a process of appointing the suitable category to testing document.
    In document classification, there are two main steps. The first step is features selection, and the second is relevance function selection. Here we propose two techniques to improve the precision of classification by using XML lexicon hierarchical comparison and store keywords in XML schema. The experimental result shows that the proposed method achieves higher accuracy than database lexicon linear comparison.
    Advisor Committee
  • Ching-Long Yen - advisor
  • Chih-Ming Shih - co-chair
  • Hui-Huang Chen  - co-chair
  • Files indicate access worldwide
    Date of Defense 2005-07-18 Date of Submission 2007-05-22


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