Abstract: With the development of the mobile communication technology,the number of mobile phone users is increa-sing continuously．As a traditional mobile communication service,SMS occupies a very important position in people’s lives．SMS messages record the track of one’s life to a certain extent．However,the existing SMS management systems only manage our messages in an unintelligent way—classifying by contacts and showing in the order of sending time．As a result,different kinds of messages mix together and are hard to be managed．By studying the characteristics of SMS messages and analyzing the shortages of the traditional algorithm based on word frequency and the algorithm based on mutual information,we proposed a new feature selection algorithm for SMS messages based on both word frequency and mutual information and improved the accuracy of the Bayes classification algorithm using more features including the length of SMS messages．In the experiments,it is proved that this new algorithm can get a very good recall rate and accuracy rate when processing SMS messages.

Key words: Intelligent SMS management,Text classification,Feature selection,Bayes classification algorithm