A Network public opinion analysis system based on semantic Web

With the pervasion of Internet and the sharp increase of the number of netizens, Network public opinion has been serving as an effective method in the monitoring and reflection of social public opinion. However, Regulatory Authorities are inclined to concern more about public opinion in a special field while it is too difficult to acquisite the expected information that relates to a special area from the massive searching results based on key words, on the other hand, it is powerless for the key words to express the searching desire since its easiness of generating semantic drift phenomenon. This article introduced a semantic Web - based Network public opinion analysis system which realizes the vertical search of public opinion, and the analysis of specialization, besides, it completely solve the semantic drift phenomenon problem in public opinion analysis by establishing domain ontology. Taking public opinion in colleges and universities of Hubei Province for sample, we succeed in implementing the prototype system as well as demonstrating the effectiveness of the model.