A Method of the Feature Selection in Hierarchical Text Classification Based on the Category Discrimination and Position Information

Abstract

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.