Normalized and classified feature selection in text categorization

Feature selection is a valid method to reduce the dimension of text vector in automatic text categorization system. The paper finds a defect among several normal evaluation functions based on experiments data and proposes that normalization should be taken into these methods as a necessary step. Furthermore, the paper also brings forward a new idea named classified feature selection that applies traditional evaluation function among each class. Experiments prove the validity of these two solutions.