The Research And Implementation Of Network Public Sentiment Supervisory System

Along with Internet's promotion and the application, the network had been revealed that after the publication, the broadcast, the television three flash news media"the fourth medium", has the expression which the traditional medium is unable to compare quickly, the information multi-dimensional, the way interaction. The network has become one of reflection society popular feelings main carriers, is playing the vital role in the popular feelings dissemination. Under network environment's popular feelings important source includes: BBS, Email, blog, QQ, MSN, twitter and so on micro blog. The different information carrier has the different dissemination characteristic, BBS is in all network information, the web cam attention is highest, the information content is biggest; Blog is after Email, BBS, ICQ appears the fourth network exchange way, is network time individual"the Reader's Digest", is take the super link as the weapon network diary, is representing the new life style and the new working, is representing the new study way.This article to has carried on the analysis and the research based on the popular feelings information trend analysis's network popular feelings monitoring technology. First constructed the network popular feelings supervisory system architecture and has given its main function and the module realizes the plan. The network popular feelings supervisory system's function is divided four stages to carry on the operation: Information pretreatment stage, data turning on stage, information application stage, trend analysis stage. Next has conducted the comprehensive study to the network popular feelings supervisory system's essential data trend analysis. And to the intelligent search, the cluster analysis, the homepage denoising, the study classification and so on key technologies carried on has designed and realizes, finally carried on through the popular feelings monitoring technology to the public security popular feelings information realizes.This system mainly faces the public security department, the sub-bureau, the basic unit police and various police plants the personnel to provide the service. The experimental result indicated that this platform may gather automatically analyzes the police station work the related bad information, the hot spot event, the sensitive character and the related information, supplies the decision-making supporting information for the leadership, becomes the police service popular feelings management"the "one-stop" work style"the platform.