Abstract: A rapid method for text tendency classification is proposed in this paper. By means of class space model to display the tendency of the words to the categories, the method realizes the classification based on the statistic characteristics of words. In this method, through the studies of the complexity of text tendency categorization, three statistic characteristics of word such as frequency, document frequency and the distribution of words are comprehensively taken into account, and a new method of twice feature selection is proposed:In the first characteristic selection process, using combination characteristic selection method, the words that those distributions are uniform in each category and the low-frequency words are deleted. Then in the second process, the words that those category tendencies are not obvious are deleted. The experimental results show that the algorithm is running-fast, and has high performance.