1. Application of feature selection method to text categorization based on feature contribution degree.
- Author
-
MENG Jia-na, LIN Hong-fei, and LI Yan-peng
- Subjects
CATEGORIZATION (Linguistics) ,VECTOR spaces ,DOCUMENT selection ,CLASSIFICATION ,PROCESS optimization - Abstract
At present, the feature selection method is viewed as an efficient method for improving the accuracy and efficiency of classification in text categorization. A feature selection method based on feature contribution degree (FCD) is proposed. In this method, a feature will be selected according to the contribution degree for differentiating a certain category from others. The FCD of a feature in a particular category is a ratio between the number of documents occurring in a certain category and the number of documents occurring in all categories. The experiments corresponding to this method are carried Out and the comparison between this method and other common feature selection method is presented. As a result, the method proposed outperforms other feature selection methods. [ABSTRACT FROM AUTHOR]
- Published
- 2011