会议专题

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 micro-blog content in the spreading process in this paper. Then, by analyzing the senders 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 microblog platform by using this model, thus the algorithm may provide satisfactory support to the security of information broadcasting and opinion monitoring on the public internet.

content audit text filtering tendency judgment algorithm

Qin Zhenhua Xin Mingjun Niu Zhihua

School of computer Engineering and Science Shanghai University Shanghai, 200072, China

国际会议

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

厦门

英文

168-172

2010-10-29(万方平台首次上网日期,不代表论文的发表时间)