IPOMS: an Internet Public Opinion Monitoring System

In this paper, an IPOMS (Internet Public Opinion Monitoring System) is proposed. This system can collect web pages with some certain key words from Internet news, topics on forum and BBS, and then cluster these web pages according to different dasiaeventpsila groups. Furthermore, this system provides the function of automatically tracking the progress of one event. With this system, supervisors can know what is exactly happening and what has happened from different views, which can improve their work efficiency a lot. This system is composed of web crawler, html parser and topic detection and tracking tool. Because of the existence of numerous data in web pages, in order to improve efficiency of Internet public opinion analysis, the technologies of web page cleansing and k-d tree algorithm in topic tracking are adopted.