The Chinese text categorization system with association rule and category priority

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/45517

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题名:	The Chinese text categorization system with association rule and category priority
作者:	蔣定安;Chiang, Ding-an;Keh, Huan-chao;Huang, Hui-hua;Chyr, Derming
贡献者:	淡江大學資訊工程學系
关键词:	Text categorization;Feature selection;Filtering measure;Text mining;Association rule
日期:	2008-07-08
上传时间:	2010-08-10 10:42:08 (UTC+8)
出版者:	Oxford: Pergamon
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.
關聯:	Expert Systems with Applications 35(1-2), pp.102-110
DOI:	10.1016/j.eswa.2007.06.019
显示于类别:	[資訊工程學系暨研究所] 期刊論文

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