A information text classifier of machinery-oriented is proposed in this paper.The method of document frequency and grey relation analysis are used to select feature

which reduce the characteristics of dimensionality

weaken relation between feature words and create the conditions for the Bayes.The Bayesian Classifier is ameliorated by using words kinds-difference as weighted factor.The experimental results indicate that the classifier is able to improve recall and precision

and is useful in practice.