The Chinese text categorization system with association rule and category priority
學年 96
學期 2
出版(發表)日期 2008-07-08
作品名稱 The Chinese text categorization system with association rule and category priority
作品名稱(其他語言)
著者 蔣定安; Chiang, Ding-an; Keh, Huan-chao; Huang, Hui-hua; Chyr, Derming
單位 淡江大學資訊工程學系
出版者 Oxford: Pergamon
著錄名稱、卷期、頁數 Expert Systems with Applications 35(1-2), pp.102-110
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 the filtering measure for feature selection in our Chinese text categorization system. We modify the formula of TFIDF to strengthen important keywords’ weights and weaken unimportant keywords’ weights. For the knowledge of the categories, we use association rules to improve the precision of text classification and 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 ratio of precision and recall of text categorization.
關鍵字 Text categorization; Feature selection; Filtering measure; Text mining; Association rule
語言 en
ISSN 0957-4174
期刊性質
收錄於 SCI
產學合作
通訊作者
審稿制度
國別 GBR
公開徵稿
出版型式
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