Internet Public Opinion Recognition and Tracking Based on Web Mining

Abstract

Recent years have observed the frequent occurrences of grave negative events. Along with the application and evolvement of Internet and new media, enthusiasms in distribution and discussing public opinion events have heightened. Internet public opinion research has thus become one of the research priorities of scholars in recent years. Internet public opinion research places heavy premium upon the emergence, evolvement, influencing factors and other aspects of public opinion. With rapid development and deepen evolution of internet public opinion in the internet, a variety of new methods occur on network. As the internet public opinion possesses the features of various topic, complex content and large amount data, the paper constructs an internet public opinion recognition and tracking based on web mining. Then the framework of the internet public opinion recognition and tracking system is presented. At last, it puts forward the whole workflow of the system to process the internet public opinion.