A content tendency judgment algorithm for micro-blog platform

After a brief analysis to the information spreading mode under internet-based micro-blog platform, it quickly classifies and audits the related mirco-blog content in the spreading process in this paper. Then, by analyzing the sender´s mood tendency to some specific topics in the content of micro-blog message, it proposes a content audit model under the micro-blog service platform. Furthermore, by using this model, it classifies the information according to some specific rules saved in rule-base(RB). Finally, through a statistical analysis of a certain number of tendency samples and through the text content classification model and the strategy tree, it designs and realizes a content tendency judgment algorithm for the public opinion of micro-blog platform by using this model, thus the algorithm mau provide satisfactory support to the security of information broadcasting and opinion monitoring on the public internet.