%A XU Xiaodan, DUAN Zhengjie, CHEN Zhongyu %T The sentiment mining method based on extended sentiment dictionary and integrated features %0 Journal Article %D 2014 %J Journal of Shandong University(Engineering Science) %R 10.6040/j.issn.1672-3961.1.2014.108 %P 15-18 %V 44 %N 6 %U {http://gxbwk.njournal.sdu.edu.cn/CN/abstract/article_63.shtml} %8 2014-12-20 %X In the traditional classification method, only one feature was considered, that was not good enough for the precision. In order to improve the precision, a classification method based on integrated features was provided. First, the emotional tendency value of one word was calculated according to an extended sentiment dictionary; then after the CHI selection, the weights of the positive and negative emotion word posterior probability in the Bayesian model were adjusted acrodding to its tendency value. In the experiments, four kinds of corpus such as hotel and movie reviews were used, compared with other three methods, the integrated features method was better. The results showed the precision of classification was improved and the dimension of the feature was reduced.