Abstract: Due to the advance of many social network applications, social group feature analytics are attracting a lot of attention. In the meantime, microblogging, as a kind of social network application, attracts more and more people to use it. With the utilization of bigger and broader crowds over microblogging, surveying massive user features will be an important aspect of exploitation of crowd-sourced data. For better understanding microblogging user group features, in this study, a user classification approach was proposed by means of Boolean operations and it is easily find different microblogging user group features by this approach. In the experiment, some facts were discussed on the exploratory survey to exploit a great deal of microblogging data and how to analyze the features of the different user groups.