Abstract: There is urgent demand for analysis of network public opinion under the social transformation period in our country. Microblog is being increasingly investigated due to its big data features, it provides large volumes of data for discovery of knowledge about public opinion and physical environment. Once connected with their location, it provides new opportunities for geographical analysis. Analysis and data mining through microblog messages posted by users, it provides information for decision making by governments. With the help of microblog data and Using data mining in this paper, then analysis the public opinion transmission mode in spatial dimension and using geographic location information to visualize the distribution and statistic method combined to explore the propagation laws of network public opinion.

Key words: network public opinion, geospatial relations, visualization, statistical analysis