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a comparative study of tf*idf, lsi and multi-words for text classification
Zhang Wen; Yoshida Taketoshi; Tang Xijin
2011
发表期刊Expert Systems with Applications
ISSN9574174
卷号38期号:3页码:2758-2765
摘要One of the main themes in text mining is text representation, which is fundamental and indispensable for text-based intellegent information processing. Generally, text representation inludes two tasks: indexing and weighting. This paper has comparatively studied TFIDF, LSI and multi-word for text representation. We used a Chinese and an English document collection to respectively evaluate the three methods in information retreival and text categorization. Experimental results have demonstrated that in text categorization, LSI has better performance than other methods in both document collections. Also, LSI has produced the best performance in retrieving English documents. This outcome has shown that LSI has both favorable semantic and statistical quality and is different with the claim that LSI can not produce discriminative power for indexing. © 2010 Elsevier Ltd. All rights reserved.
收录类别ei
关键词Data Mining Indexing (Of Information) Information Retrieval Natural Language Processing Systems
部门归属(1) Laboratory for Internet Software Technologies, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) School of Knowledge Science, Japan Advanced Institute of Science and Technology, 1-1 Ashahidai, Nomi, Ishikawa 923-1292, Japan; (3) Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
语种英语
WOS记录号WOS:000284863200158
引用统计
被引频次:461[WOS]   [WOS记录]     [WOS相关记录]
内容类型期刊论文
URI标识http://ir.iscas.ac.cn/handle/311060/14095
专题中国科学院软件研究所
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GB/T 7714
Zhang Wen,Yoshida Taketoshi,Tang Xijin. a comparative study of tf*idf, lsi and multi-words for text classification[J]. Expert Systems with Applications,2011,38(3):2758-2765.
APA Zhang Wen,Yoshida Taketoshi,&Tang Xijin.(2011).a comparative study of tf*idf, lsi and multi-words for text classification.Expert Systems with Applications,38(3),2758-2765.
MLA Zhang Wen,et al."a comparative study of tf*idf, lsi and multi-words for text classification".Expert Systems with Applications 38.3(2011):2758-2765.
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