Clustering of banned food additives based on Word2vec - 文章详情页

作者：

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

收录：

CPCI-S

摘要：

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.

关键词：

Clustering Food safety Word2vec

作者机构：

[ 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

通讯作者信息：

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

电子邮件地址：

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

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