Public Opinion Monitoring System Based On Trend Analysis

With the rapid development of Internet, the network security problem also gradually appears culture. Internet public opinion hotspots is the concentrated reflection of netizens thought emotions and interests of the masses demands on the network, Internet users are deeply concerned about the focal point, reflecting a period of time Internet users are thinking. One of the major site of BBS as the Internet’s most active platform, natural awash in bad, sensitive, negative information. If we can establish automatic monitoring platform, the focus of the site for sensitive information collected automatically classified, tracking, screen and so on, can greatly reduce the investment of resources, efficient public opinion work. In addition, key and difficult mining and detection of harmful Internet information sources is also China’s current network security work.Based on the above, this paper makes a preliminary study on the web crawler, then the principle and characteristics of BBS reptile unifies in together, proposed one based on the BBS network public opinion information data collection and extraction system. The subject in the public opinion of China’s network especially group events are the basis of the in-depth study, public opinion monitoring model is established based on the trend of evaluation, the design and implementation of the public opinion monitoring system based on trend analysis. The specific research work carried out the following:1.Through the analysis of the whole public opinion monitoring technology is summarized as "acquisition","identification" and "judgment", and the various stages of technology research.2.With Chinese characteristics to the network of public opinion analysis and research, summed up the Chinese Internet public opinion model.3.How to judge the trend of public opinion, how to identify the negative trends in the study of.4.To build a public opinion monitoring model based on trend assessment: comprises an acquisition module, traffic identification module, the keyword recognition module, communication module, the module heat recognition clustering, trend analysis module; and the coding and the application.The public opinion monitoring system established to achieve the following functions:1.Construct the trend evaluation model by fuzzy mathematics analysis of public opinion: this kind of fuzzy things for reliable quantitative traits, calculate the specific value trend of public opinion.2.Clustering filtering:for the information processing module uses clustering analysis technology, filtering, search engine and data acquisition monitoring point outdated information, modeling and based on the incremental acquisition and monitoring information appears time change and response values to join the trend assessment.3.Through the evaluation of trends in technology, the acquisition module and analysis module public opinion monitoring current were investigated. Using the method of fuzzy comprehensive evaluation to construct the possibility of public opinion events, combined with the development trend of Bayesian network public opinion events.