This paper presents a study of seven feature selection methods that are commonly used in text categorization: document frequency

information gain

mutual information

X\+2 statistic

expected cross entropy

weight of evidence for text

and odds ratio. In order to evaluate these methods

experiments have been carried out combined with Chinese texts set in national 863 project and Rocchio classifier. The results of measured indicate that odds ratio method is superior to other methods.