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. 2022 Oct 28;11(21):3421.
doi: 10.3390/foods11213421.

Quantitative Analysis of Food Safety Policy-Based on Text Mining Methods

Cen Song  1 , Jiaming Guo  1 , Fatemeh Gholizadeh  2 , Jun Zhuang  2
Affiliations

Quantitative Analysis of Food Safety Policy-Based on Text Mining Methods

Cen Song et al. Foods. .

Abstract

Recently, food safety and cold chain food have been closely related to the epidemic. The party and the state have intensified efforts to solve food safety problems and prevent possible epidemic risks. China has issued a series of policies and plans to strengthen food safety supervision to improve the food safety policy system. To our knowledge, little work has studied policy problems of food safety with in-depth quantitative analysis for an extended period. In accordance with the different national policies and regulations for food safety, this paper fills the gap by analyzing the policies and comparing the central and local policies issued in China from 2007-2022. In addition, the Latent Dirichlet Allocation (LDA) topic model and K-Means clustering model are constructed to analyze the content of food safety policies and identify hot topics. Finally, a quantitative analysis of China's food safety policies is made from four aspects: the number of policy release years, the distribution area, the range of action, and the affiliated institutions. The results show that: (a) there is a partial surge in food safety policies issued in 2007, 2011, and 2017; (b) the local food safety policy has a high inheritance to the central policy content, and the trends of annual publication number are highly consistent; (c) the innovation of different policy contents in the region have their own characteristics; (d) the proportion of compulsory and capacity policies is much more significant than that of other types of policies. This paper provides some novel insights into food safety policies.

Keywords: LDA; central and local government; cluster analysis; food safety policy; text mining.

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Conflict of interest statement

The authors declare no conflict of interest. The sponsors had no role in the design, execution, interpretation, or writing of the study. The company affiliation in the manuscript had no role in the design, execution, interpretation, or writing of the study. The company affiliation in the manuscript has no potential conflict of interests.

Figures

Figure 1
Figure 1
The methodological approach followed in this study.
Figure 2
Figure 2
The Policy development process of the food safety industry.
Figure 3
Figure 3
Annual quantitative analysis of the central policy (2007–2021).
Figure 4
Figure 4
Annual quantitative analysis of the local policy (2008–2022).
Figure 5
Figure 5
Regional distribution of food safety policies in China (2008–2022).
See this image and copyright information in PMC

References

    1. Beijing Daily Wallace Was Notified 17 Times! Chain Stores Should First Lock Food Safety. 2021. [(accessed on 25 October 2022)]. Available online: https://cj.sina.com.cn/articles/view/1893892941/70e2834d0200137we. (In Chinese)
    1. Xinhuanet The White Paper on Best Practices in Food Safety (2021–2022) Was Released in Beijing 2022. [(accessed on 25 October 2022)]. Available online: http://www.xinhuanet.com/food/20220623/ee573702b0214cd99fbde642bd3d4461/.... (In Chinese)
    1. Han H., Wang Q., Chen C. Policy Text Analysis Based on Text Mining and Fuzzy Cognitive Map; Proceedings of the 2019 15th International Conference on Computational Intelligence and Security (CIS); Macao, China. 13–16 December 2019; pp. 142–146.
    1. Miao G., Wang S., Cui C. Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data. Springer; Singapore: 2021. Logistics Policy Evaluation Model Based on Text Mining; pp. 105–116.
    1. Park J.Y., Mistur E., Kim D., Mo Y., Hoefer R. Toward human-centric urban infrastructure: Text mining for social media data to identify the public perception of COVID-19 policy in transportation hubs. Sustain. Cities Soc. 2022;76:103524. doi: 10.1016/j.scs.2021.103524. - DOI - PMC - PubMed

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