The Research And Application On Public Sentiment Information Based On Network Content Analysis Method

With rapid growth and worldwide popularity of the Internet, online media has been gradually recognized as "The fourth public sentiment media" after the newspapers, the radio and the television. Internet has become a new channel for public sentiment information collection. The publics express their sentiment, and participate in economic, social and political life through the network platform. The network content analysis method as a semi-quantitative research method is commonly used in public sentiment information analysis. This method can not only combine qualitative and quantitative perfectly, but also retrieve hidden information to predict the trend of the public sentiment. Research institutes study public sentiment information using the network content analysis method, assist the government and relevant departments manage network public sentiment, and provide decision support in educating and warning through the network's new channels.Based on the organization and integration of the network public sentiment information by content analysis, this paper aims to building a model of network public sentiment research information by taking principles, necessity and feasibility into account, analyzing the design basis of the model of network public sentiment research information. Also, the paper focus on analyzing the workflow, overall framework and structure of the core functions of the model and discussing concrete form of the model and potential applications.Possible theoretical contributions of the present paper are as follows:(1)The paper investigated and established a model of network public sentiment information and discussed its core functions. Based on the various traditional models of content analysis, this paper integrated new characteristics and new trends of network content analysis, such as trend analysis, index analysis, text analysis, multimedia analysis, comparative analysis and literature review. This will help overcome problems of the traditional content analysis, such as limited coverage of information content and difficulty in obtaining comprehensive public sentiment information.(2)The paper discussed about seven specific forms of the model application and case analysis through the research and application on public sentiment information model based on network content analysis method. In various different areas of application status, evaluation model make the appropriate judgment of current network public sentiment information, predict future trend based on the research of network content analysis and public sentiment Information, provide support to the government and relevant departments, which include network public sentiment daily management, guide and control.