关键词: 文本分类, 支持向量机, 向量空间模型, 公安情报

Abstract: In the public security information text，the vocabulary entries in different positions own obviously different ability to distinguish the text categorization.According to the features of the public security information text，this paper introduces the regional weight modulus，improves the classic TF-IDF.It makes the weight of vocabulary entry can full-scale express the contributions on the text’s category.This paper designs the automatic text categorization system of public security information based on Support Vector Machine（SVM），according to the requirements of public security information.This system not only distinguishes the text classification automatically，but also retrains the features information at different stages of the categorization process.It will support the further information procession.Meanwhile，this system reduces the coupling degree of the subcomponents，provides the flexible system structure，and improves the adaptability of system.At last，the rationality of the design for this system is verified by experiment.

Key words: text categorization, Support Vector Machine（SVM）, Vector Space Model（VSM）, public security information