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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/54954

    題名: The Chinese Text Categorization System with Category Priorities
    作者: Keh, Huan-Chao;Chiang, Ding-An;Hsu, Chih-Cheng;Huang, Hui-Hua
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: text categorization;feature selection;filtering measure;text mining
    日期: 2010-10
    上傳時間: 2013-06-13 11:29:44 (UTC+8)
    出版者: Oulu: Academy Publisher
    摘要: The process of text categorization involves some understanding of the content of the documents and/or some previous knowledge of the categories. For the content of the documents, we use a filtering measure for feature selection in our Chinese text categorization system. We modify the formula of Term Frequency-Inverse Document Frequency (TF-IDF) to strengthen important keywords’ weights and weaken unimportant keywords’ weights. For the knowledge of the categories, we use category priority to represent the relationship between two different categories. Consequently, the experimental results show that our method can effectively not only decrease noise text but also increase the accuracy rate and recall rate of text categorization.
    關聯: Journal of Software 5(10), pp.1137-1143
    DOI: 10.4304/jsw.5.10.1137-1143
    顯示於類別:[資訊工程學系暨研究所] 期刊論文


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