The role of big data in network public opinion within the colleges and universities

Abstract

The online public opinion of colleges and universities, which utilizes social opinion, is a type of college student’s individualism that exists on campus and is a societal hot concern. With the advancement of Internet skills and uses, public perception of the network has changed significantly in terms of data quantity, sophistication, and production speed. The current public opinion assessment and monitoring system is hard to adapt to the variations occurring in this situation. It must be created under the guise of big data investigation. Furthermore, with the use of social opinion by colleges and universities, the problem of online public opinion is becoming more serious. The academic community has also been very interested in the college's early warning research on online public opinion. This manuscript examines the role of big data in guiding network public opinion in colleges as well as in universities. It is based on the analysis of the current state of college online public opinion. Our proposed model builds multi-level and comprehensive guidance metrics for new media through dynamic monitoring. It will help colleges and universities prevent early warning, processing, and analysis of online public opinion. Besides, it will promote the professionalism of online public opinion management in colleges and universities accurately and effectively.