tc-dca: a system for text classification based on document's content allocation

	tc-dca: a system for text classification based on document's content allocation
	Li Wenbo; Sun Le; Zhang Zhenzhong; Jiang Xue; Zhang Weiru
	2010
会议名称	19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
会议录名称	International Conference on Information and Knowledge Management, Proceedings
页码	1937-1938
会议日期	40842
会议地点	Toronto, ON, Canada
收录类别	EI
出版地	United States
ISBN	9781450000000
部门归属	(1) Institute of Software, Chinese Academy of Sciences, 4# South Fourth Street, Zhong Guan Cun, Beijing, China
摘要	The text classification methods heavily depend on machine learning algorithms with abstract mathematic metrics, which obstruct the direct observation and intuitive understanding of the text-specific classification. In this paper, we model a document as a Document-Classes-Topics top-down hierarchical structure. Furthermore, by running the document generation procedure, we can obtain each class's content share, which not only can be used to make the classification decision but also can provide a natural visualization approach for text classification. We implement this idea by a new tool named TC-DCA, which provides the visualization of text classification result, where the target document is expressed graphically as its content's allocation on every class. TC-DCA can also perform the drilling down operation to reveal the classification effect of each word of the document.
关键词	Knowledge Management Learning Algorithms Text Processing Visualization
主办者	ACM SIGIR; ACM SIGWEB; ACM SIGKDD
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8928
专题	基础软件国家工程研究中心
推荐引用方式 GB/T 7714	Li Wenbo,Sun Le,Zhang Zhenzhong,et al. tc-dca: a system for text classification based on document's content allocation[C]. United States,2010:1937-1938.

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