Monitoring and Guidance of Public Opinions on Food Safety Based on Information Retrieval and Data Mining: An Empirical Study of Microblog Public Opinions on Food Safety in Large Farmers’ Markets

Abstract

As the most important livelihood issue, food safety has become a heated topic among the public and media. The current monitoring system of public opinions on food safety cannot keep up with the rapid development of social media, causing endless issues. It becomes increasingly challenging to monitor public opinions on food safety because of the rapid dissemination speed and broad dissemination range of public opinions on food safety, and the presence of misleading and erroneous information regarding public opinions on food safety. In this context, this paper reviews and analyzes the current status of online public opinions on food safety, builds an artificial intelligence monitoring system for food safety public opinions. Taking food safety public opinions for large farmers’ markets as a typical case, an integrated solution for public opinion management in the field of food safety governance is proposed. This review can serve as a technical guidance for effectively coping with online public comments on food safety and also provide a reference for governmental departments concerned to improve their management effectiveness.

Keywords

• artificial intelligence; public opinions on food safety; monitoring; guidance; large farmers’ market