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a comparative study of tf*idf, lsi and multi-words for text classification
文献类型：期刊论文
| 作者 | Zhang Wen ; Yoshida Taketoshi ; Tang Xijin |
| 刊名 | Expert Systems with Applications
 |
| 出版日期 | 2011 |
| 卷号 | 38期号:3页码:2758-2765 |
| 关键词 | Data mining Indexing (of information) Information retrieval Natural language processing systems |
| ISSN号 | 9574174 |
| 英文摘要 | 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000284863200158 |
| 公开日期 | 2011-10-10 |
| 源URL | [http://124.16.136.157/handle/311060/14095]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：软件研究所
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