Public Opinion Evolution Law and Sentiment Analysis of Campus Online Public Opinion Events-Reference-Cited by-同舟云学术

Public Opinion Evolution Law and Sentiment Analysis of Campus Online Public Opinion Events

Published:2024-07-20 Issue:4 Volume:28 Page:990-1004
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

Author:

Xu Zhengzhi¹,Ye Zi²,Ye Haiyang³,Zhu Lijia⁴,Lu Ke⁵,Quan Hong⁵,Wang Jun⁵,Gu Shanchuan³,Zhang Shangfeng⁶,Zhang Guodao³

Affiliation:

1. Modern Educational Technology Center, Zhejiang University of Water Resources and Electric Power, No.508 2nd Street, Qiantang District, Hangzhou, Zhejiang 310018, China

2. Zhejiang Institute of Economics and Trade, No.280 Xuelin Street, Qiantang District, Hangzhou, Zhejiang 310018, China

3. Department of Digital Media Technology, Hangzhou Dianzi University, No.1158 2nd Street, Baiyang Street, Qiantang District, Hangzhou, Zhejiang 310018, China

4. Zhejiang Yuying College of Vocational Technology, No.16 4th Street, Qiantang District, Hangzhou, Zhejiang 310018, China

5. Zhejiang University of Water Resources and Electric Power, No.508 2nd Street, Qiantang District, Hangzhou, Zhejiang 310018, China

6. School of Statistics and Mathematics, Zhejiang Gongshang University, No.18 Xuezheng Street, Xiasha Education Park, Hangzhou, Zhejiang 310018, China

Abstract

In the context of the new era, teachers and students in colleges and universities, as well as the general public, rely more on the Internet and social media to obtain news, express their opinions, and share information, and the dissemination of public opinion events in colleges and universities is not only related to the physical and mental health of teachers and students but also to the reform and development of colleges and universities. In this study, we took campus public opinion events as the main research object in which we selected three recent campus public opinion events to be analyzed. The public opinion data used in the research was collected from Weibo social media platforms. Firstly, we analyzed the dissemination cycle and regional dissemination patterns of a college food safety public opinion hot event through the popularity and regional distribution of public opinion data, thus revealing its formation and evolution patterns. Secondly, the LDA topic mining method is used to mine the themes of the three hot public opinion events, and then analyze the hot factors of the dissemination of each public opinion event from the massive public opinion data. This is crucial for the management department to grasp the dynamics of public opinion. Then, we used the SKEP sentiment classification method to analyze the emotional factors of the public opinion data of the three events to obtain the overall public opinion sentiment situation of the events. Finally, based on the characteristics of time, region, and gender, the evolution and diffusion rules of public topics and emotional distribution under different types of events are analyzed. The precision of the analyses associated with this paper may be limited to the effects of current mainstream as well as state-of-the-art analytical models. The analysis methods and conclusions in this paper provide a scientific theoretical basis and improvement measures for campus public opinion management, which helps to enhance the level of campus public opinion management and safeguard campus stability and public order.

Funder

Department of Education of Zhejiang Province

2023 Hangzhou Philosophy and Social Sciences Planning Project Base Project

Publisher

Fuji Technology Press Ltd.

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