Affiliations: [a] Department of Scientific Research, Shanghai Customs College, Shanghai, China | [b] School of Marxism, Guilin Medical University, Guilin, Guangxi, China
Correspondence:
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Corresponding author: Jianhong Zhang, School of Marxism, Guilin Medical University, Guilin, Guangxi 541001, China. daqi8882022@163.com.
Abstract: Campus security issues have always been a hot topic of concern from all walks of life. To analyze the changes in network public opinion of college students’ campus security incidents, this study proposes to classify campus security incidents and track related topics. The classification algorithm and topic tracking algorithm for campus security incidents based on Internet technology are studied, and a prototype system of campus security incidents based on Internet is designed for analysis. The research results show that the Internet-based campus security incident prototype system can classify campus security incidents more accurately, and can also track security incidents on related topics, which provide support for student security management to a certain extent. This technology will be applied to the tracking and classification of college safety accidents, and provide certain reference for ensuring college students’ campus safety.
Keywords: Topic extraction, text classification, topic tracking, security incidents, campus security classification, prototype system
