Abstract: It is not only helpful for people who can get a deeper understanding of food safety incident but also beneficial for managers who deal with food safety incidents to analyze and identify the entity of food safety incidents. With the news reports of food safety incident texts as the corpus and by counting and analyzing the internal and external characteristics of the entities of organization name and the person names, the identification task of the entities of organization name and the person names in food safety incidents based on conditional random field model is completed in formulating identification template containing multiple characteristics. The overall performance of the conditional random field model is outstanding in the experimental results comparing with the test results of maximum entropy model, and the accuracy and recall rate is very well.

Key words: conditional random fields, feature analysis, entity identification, food safety incident