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：

CPCI-S

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.

Keyword：

Word2vec Food safety Clustering

Author Community：

[ 1 ] [Zhang, Yipeng]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[ 2 ] [Li, Xiaoli]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[ 3 ] [Wang, Kang]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[ 4 ] [Li, Xiaoli]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
[ 5 ] [Li, Xiaoli]Beijing Univ Technol, Engn Res Ctr Digital Community, Minist Educ, Beijing 100124, Peoples R China
[ 6 ] [Li, Yang]Commun Univ China CUC, Sch Int Studies, Beijing 100024, Peoples R China

Reprint Author's Address：

[Zhang, Yipeng]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

Email：

992859284@qq.com |
lixiaolibjut@bjut.edu.cn |
julialee59@hotmail.com

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Source ：

PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020)

ISSN： 1948-9439

Year： 2020

Page： 3467-3471

Language： English

Cited Count：

WoS CC Cited Count： 1

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 5

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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