Using DragPushing to Refine Concept Index for Text Categorization
文献类型：期刊论文
| 作者 | Songbo Tan（谭松波）; Xueqi Cheng（程学旗）; Lilian Tang |
| 刊名 | Journal of Computer Science and Technology
 |
| 出版日期 | 2006 |
| 卷号 | 21期号:4页码:592-596 |
| 关键词 | Text Classification Information |
| 英文摘要 | Concept index (CI) is a very fast and efficient feature extraction (FE) algorithm for text classification. The key approach in CI scheme is to express each document as a function of various concepts (centroids) present in the collection. However, the representative ability of centroids for categorizing corpus is often influenced by so-called model misfit caused by a number of factors in the FE process including feature selection to similarity measure. In order to address this issue, this work employs the ``DragPushing'' Strategy to refine the centroids that are used for concept index. We present an extensive experimental evaluation of refined concept index (RCI) on two English collections and one Chinese corpus using state-of-the-art Support Vector Machine (SVM) classifier. The results indicate that in each case, RCI-based SVM yields a much better performance than the normal CI-based SVM but lower computation cost during training and classification phases. |
| 语种 | 英语 |
| 公开日期 | 2010-11-04 |
| 源URL | [http://ictir.ict.ac.cn/handle/311040/839]  |
| 专题 | 中国科学院计算技术研究所期刊论文_2006年英文 |
| 推荐引用方式 GB/T 7714 | Songbo Tan,Xueqi Cheng,Lilian Tang. Using DragPushing to Refine Concept Index for Text Categorization[J]. Journal of Computer Science and Technology,2006,21(4):592-596. |
| APA | Songbo Tan,Xueqi Cheng,&Lilian Tang.(2006).Using DragPushing to Refine Concept Index for Text Categorization.Journal of Computer Science and Technology,21(4),592-596. |
| MLA | Songbo Tan,et al."Using DragPushing to Refine Concept Index for Text Categorization".Journal of Computer Science and Technology 21.4(2006):592-596. |
入库方式： OAI收割
来源：计算技术研究所
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