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URN etd-0522107-161916 Statistics This thesis had been viewed 2967 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 Date of Defense 2005-07-18 Date of Submission 2007-05-22