摘要
食品安全涉及从农田到餐桌多个阶段,利用大数据挖掘分析食品安全风险因素,对于食品安全社会共治具有积极意义。运用聚焦网络爬虫技术挖掘食品安全热点新闻,确定食品安全风险因素,进一步与高热度食品安全舆情事件进行关联分析,用粗糙集方法筛选关键影响因素,对食品安全事件提出预警。通过研究公众关注视角的食品安全风险预警因素,提出强化食品安全监督管理、提高食品从业人员守法意识、建立完善的舆情监测预警体系,加强全社会各主体协同治理,形成食品安全社会共治良好局面。
Food safety involves many stages from farmland to table.Using big data mining to analyze food safety risk factors has positive significance for food safety social co-governance.The focused web crawler technology was used to excavate food safety hot news,to determine food safety risk factors,to further analyze the association with high heat food safety public opinion events,and to select key influencing factors by rough set method.Early warning of food safety by studying the early warning factors of food safety risk from the perspective of public concern,put forward to strengthen the supervision and management of food safety,to raise the awareness of food practitioners to abide by the law,to establish a perfect monitoring and early warning system of public opinion,to strengthen the cooperative management of all subjects in the whole society,and to form a good situation of co-governance of food safety society.
作者
武晓伟
李莉
程景民
WU Xiaowei;LI Li;CHENG Jingmin(School of Management,Shanxi Medical University,Jinzhong 030619;Shanxi Health Commission,Taiyuan 030013)
出处
《食品工业》
CAS
2021年第9期325-329,共5页
The Food Industry
基金
教育部人文社会科学研究项目“食品安全危机信息传播的协同治理措施研究”(项目编号:18YJA630015)。
关键词
食品安全
公众
预警
网络舆情
粗糙集
food safety
public
early warning
network public opinion
rough set