Design And Development For Security Network Of Some City Public Opinions Analysis System

For the reason of conveniently exchange and dissemination, Public opinion onInternet has become one of the most important public opinion which reflects the socialwindow. More and more people express their true thoughts and views via the Internet.On the other hand, the Internet can make network public opinion quickly broke outand easy to trigger mass incidents, which have an impact on social security andstability.In order to improve working methods and the efficiency of public opinionmonitoring analysis work, the municipal public security bureau in May2012proposedthe construction of a network of public opinion analysis system requirements.Through the construction of the system, we hope to grasp the network public opinioninformation.The background of this thesis is Public Security Bureau’s Internet public opinionanalysis system project. This thesis describes the system requirements, design andimplementation process. We introduces the background and significance of the project,and then follow the steps of software engineering, describes the system needs analysis,outline design, detailed design, system implementation, system testing anddeployment of the implementation.Public Opinion system can be divided into four major functions from the bottomto up. The first part is data collection, public opinion is mainly responsible for the dataacquisition system. It is the most important way to collect data from the network. Thesecond part is the storage and computing part. Through a distributed file system, adistributed data tables, parallel computing engine and diagram calculation engineprovides storage and computing support environment. The third part is the publicopinion analysis, including the contents of the downloaded data analysis, topicanalysis, and the basic functions of character analysis. The fourth part is the part ofpublic opinion show, mainly the result of the analysis of public opinion show adifferent angle.We begin to do requirement analysis for our system in July2012, and begin todevelope in early2013. In early2014, the implementation of the system is completed. After several iterative developments, system functionality has been enhancedconstantly. Now, the system has been able to run stable.