Deeply mining and analysis of E-commerce online comments of fresh agricultural products is of great significance for reducing consumers’ perceived risks and assisting consumers in making decisions. The research progress of online comments acquisition methods, text preprocessing methods, text representation methods, and text sentiment analysis was firstly reviewed based on different models and technologies. Then the latest research results such as the influence mechanism of the comments on the sales of fresh agricultural products, the information and emotional attributes of the comments, and the influence of the contradictory comments on online sales of agricultural products were analyzed. Finally, it was proposed that future research should further focus on improving the quality of data, fusing multi-modal data in comments, and studying the role of emoji in emotional expression.