A method of the feature selection in hierarchical text classification based on the category discrimination and position information

被引：10

作者：

Song, Jia ^{[1
]}

Zhang, Pengzhou ^{[1
]}

Qin, Sijun ^{[2
]}

Gong, Junpeng ^{[1
]}

机构：

[1] Commun Univ China, Fac Sci & Technol, Beijing, Peoples R China

[2] Commun Univ China, New Media Inst, Beijing, Peoples R China

来源：

2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS - COMPUTING TECHNOLOGY, INTELLIGENT TECHNOLOGY, INDUSTRIAL INFORMATION INTEGRATION (ICIICII) | 2015年

关键词：

feature selection; category discrimination; information gain; hierarchical text classification;

D O I：

10.1109/ICIICII.2015.116

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Feature dimension reduction is an important part in text categorization, and it even becomes more important for child classification in hierarchical text classification. It is presented that Chinese text feature selection method based on category distinction and feature location information in this paper. Experimental results show that the proposed method has a higher precision and recall rate than the others. Therefore the effect of the feature selection is better.

引用

页码：132 / +

页数：5

共 13 条

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