Clustering of banned food additives based on Word2vec - Details

Author：

Zhang, Yipeng (Zhang, Yipeng.) | Li, Xiaoli (Li, Xiaoli.) (Scholars：李晓理) | Wang, Kang (Wang, Kang.) | Li, Yang (Li, Yang.)

Indexed by：

EI Scopus

Abstract：

At　present,　food　safety　crimes　frequently　occur　in　China,　which　not　only　affects　social　stability　and　unity,　but　also　affects　the　health　and　life　safety　of　the　general　public.　In　this　study,　3000　food　safety　crime　judgments　from　the　Wusong　Cases　Network　are　used　as　the　data　samples,　and　they　are　divided　into　corpus.　Then　the　Word2vec　algorithm　is　used　to　cluster　the　toxic　and　harmful　additives　in　the　corpus.　The　research　shows　that　Word2vec　algorithm　can　well　complete　the　clustering　of　illegal　additives　in　food　safety　crime　cases,　and　found　some　unusual　illegal　additives　which　have　a　certain　role　in　the　future　food　safety　crime.　©　2020　IEEE.

Keyword：

Food safety Crime Food additives

Author Community：

[ 1 ] [Zhang, Yipeng]Beijing University of Technology, Faculty of Information Technology, 100124, China
[ 2 ] [Li, Xiaoli]Beijing University of Technology, Faculty of Information Technology, 100124, China
[ 3 ] [Li, Xiaoli]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Li, Xiaoli]Engineering Research Center of Digital Community, Ministry of Education, Beijing University of Technology, Beijing; 100124, China
[ 5 ] [Wang, Kang]Beijing University of Technology, Faculty of Information Technology, 100124, China
[ 6 ] [Li, Yang]Communication University of China (CUC), School of International Studies, Beijing; 100024, China

Reprint Author's Address：

李晓理
[li, xiaoli]engineering research center of digital community, ministry of education, beijing university of technology, beijing; 100124, china;;[li, xiaoli]beijing key laboratory of computational intelligence and intelligent system, beijing advanced innovation center for future internet technology, beijing university of technology, beijing; 100124, china;;[li, xiaoli]beijing university of technology, faculty of information technology, 100124, china

Email：

lixiaolibjut@bjut.edu.cn

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Related Keywords：

Clustering of banned food additives based on Word2vec
2020，32nd Chinese Control And Decision Conference (CCDC)
Data analysis of public food safety cases based on Apriori
2020，32nd Chinese Control and Decision Conference, CCDC 2020
Data analysis of public food safety cases based on Apriori
2020，32nd Chinese Control And Decision Conference (CCDC)
Research on the Prediction Model of Key Personnel's Food Crime Based on Stacking Model Fusion
2021，2021 International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2021

Source ：

Year： 2020

Page： 3467-3471

Language： English

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 11

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

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