The rise of online catering platforms has enabled more consumers to choose to order online, resulting in a sharp increase in online review data. The large amount of review data hides consumers' satisfaction with food. These text data objectively reflect consumers' satisfaction. Among them, the factors that make the returned customers choose again are more worthy of attention for catering businesses. This paper takes 50 000 pieces of data from five catering categories on the Meituan website as the research object. Through word frequency statistics, semantic network graphs and systematic clustering analysis of text data, it is concluded that the main factors determining the satisfaction of returned customers are in the following sequence:food taste, variety of dishes, service attitude, clean environment and affordable prices.