Automatic Text Categorization of Chinese Document Using Support Vector Machine Techniques

碩士 === 國立高雄應用科技大學 === 電機工程系碩士班 === 92 === “Automatic text categorization” is based on machine learning techniques to fulfill classification of heterogeneous texts through an implemented classification system. The theory of Support Vector Machine (SVM) was constructed based on statistical learning, n...

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Bibliographic Details
Main Authors: Po-Yi Li, 李柏毅
Other Authors: Chung-Hong Lee
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/65318851471594812159