A method of micro-blog information classification based on mixed characteristics
Xiang Gao, Lei Liu, Shengluan Hou · 2013
In micro-blogging services such as the micro-blog, the users may get overwhelmed by large amounts of the data. An automatic method of solving this problem is the micro-blog information classification. The traditional classification of micro-blog also lost some useful information of micro-blogging. And the weight calculation and feature selection of traditional method is not an adaptive way to solve the micro-blog information classification. In order to solve the problems above, this paper presents a method of micro-blog information classification using the mixed characteristics. On the basis of the statistical methods of chi-square (CHI), we use the frequency to improve the feature selection and the weight calculation method. The experimental results show that the method is useful to improve micro-blog information classification.