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International Journal of Neural Network, 2021, 2(1); doi: 10.38007/NN.2021.020101.

The Analysis Method of Network Public Opinion Based on Big Data in University Information Ecological Theory

Author(s)

Jia Zhou and Huan Wu

Corresponding Author:
Jia Zhou
Affiliation(s)

Nanchang Institute of Science and Technology, Nanchang 330108, China

Abstract

Big data is more and more widely used in social life. As an effective method, network public opinion (PO) analysis method has the advantages of high efficiency and speed. This article mainly starts from the theory of university information ecology and analyzes the current university Internet PO with big data as the research background. We first sorted out and summarized relevant domestic and foreign literature and research results; secondly, we analyzed the information ecological characteristics of university network PO and the characteristics of campus network PO in the context of big data through analysis of existing literature and data, and found that the current The quality of the data researched by the network PO management institutes in Chinese universities is uneven, and the network PO management mechanism in universities is not sound. In addition, the campus network PO management lacks professional talents. In this paper, we also investigated the attitudes of students in a certain university to hot events through experiments. Among the 680 questionnaires we collected, 670 questionnaires expressed the most concern about campus safety-related PO. At the same time, we also found that most of the students in this school often use Weibo to participate in the discussion of a hot event.

Keywords

Big Data, Information Ecology, University Network Public Opinion, Public Opinion Management

Cite This Paper

Jia Zhou and Huan Wu. The Analysis Method of Network Public Opinion Based on Big Data in University Information Ecological Theory. International Journal of Neural Network (2021), Vol. 2, Issue 1: 1-9. https://doi.org/10.38007/NN.2021.020101.


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