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题名:
tc-dca: a system for text classification based on document's content allocation
作者: Li Wenbo ; Sun Le ; Zhang Zhenzhong ; Jiang Xue ; Zhang Weiru
会议文集: International Conference on Information and Knowledge Management, Proceedings
会议名称: 19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
会议日期: 40842
出版日期: 2010
会议地点: Toronto, ON, Canada
关键词: Knowledge management ; Learning algorithms ; Text processing ; Visualization
出版地: United States
收录类别: EI
ISBN: 9781450000000
部门归属: (1) Institute of Software, Chinese Academy of Sciences, 4# South Fourth Street, Zhong Guan Cun, Beijing, China
主办者: ACM SIGIR; ACM SIGWEB; ACM SIGKDD
英文摘要: 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.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8928
Appears in Collections:基础软件国家工程研究中心_会议论文

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Recommended Citation:
Li Wenbo,Sun Le,Zhang Zhenzhong,et al. tc-dca: a system for text classification based on document's content allocation[C]. 见:19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10. Toronto, ON, Canada. 40842.
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