A study of big data-based employees' public opinion system construction

With the rapid development of the Internet and big data, social self-media such as Weibo, WeChat, Tiktok, and QQ space has directly contributed to the speed and the channel of employees' public opinions. The convergence and the impact of emotion are getting faster and faster. Timely and effective understanding and grasping the changes and development of employees' public opinion has become an important topic. The development of big data technology makes it possible and necessary to construct an employees' public opinion system. Based on big data and theories of public opinion generation and dissemination, this paper built a big data-based employees' public opinion system and its main functions, including big data collection, data processing, data storage, data analysis, data visualization, and early warning of employees' public opinion. Finally, we also defined the rich connotation of employees' public opinion index.