Textual Mining Applied In Reform Of Xiao Sheng Chu Training Agency In Kunming

This article acquires relative comments of text data from Jin Ri Tou Tiao,Baidu BBS and Tianya BBS by web crawler technology.Then,by means of the statistical analysis methods,such as the segmentation technology of text mining,digging hot words,the logit regression model and the cross test,finally drawing the words cloud image and visualize the data into conclusions and suggestions.The purpose of this article is to obtain the changes in the needs of the parents and students in Kunming under the new policy environment,and to explore whether the training institutions should continue to take the form of training which based on the test class.At the same time,designing a specific evaluation system for the key points of parents and students’ extracurricular training needs through deeply digging the relevant comments.And help the old brand training institutions to find out the deficiency of the current training form quickly,thus putting forward the reform proposals with products,determining the directions for improvement.