Research on Online Public Opinions Analysis Based on Ontology for Network Community

According to the requirement of online public opinion analysis, this paper builds an online public opinions extraction and analysis mechanism based on ontology. It builds public opinions' topics classification index system based ontology with which we can discuss and analyze how and what the netizen want to do. After analyzing the classification of the opinions, we can focus more on major opinions and response immediately. In this paper, we discuss how to building an ontology to classify the different opinions from lots of posters in network community, and we analyze the opinions about Yushu Earthquake information as an sample to discuss the classification result of public opinions further.