Design of Network Public Opinion Management System Based on Big Data

Abstract

With the development of IT technology and the popularization of Internet applications, the scale and value of information carried and disseminated on the Internet are increasing. It has become one of the most important sources of information for all walks of life, institutions and individuals. The core of the network public opinion system is to use intelligent mining, machine learning and other computer technologies to identify, mine and analyze the public opinion information existing on the network, and solve the problem of the inability to realize the timely supervision of massive and dynamic Internet content by manual means. This paper takes network public opinion management as the research object, and constructs a public opinion management system model under the big data network environment. In the context of big data, this paper focuses on the work flow of the public opinion management system, and designs the system components and implementation methods in detail. The public opinion management system based on big data designed in this paper can meet the needs of users from many aspects. The system can efficiently mine and identify public opinion information from a large amount of data, thus providing a solution for government and enterprise public opinion monitoring.