Clustering of banned food additives based on Word2vec

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.