Based on the theory of persuasion, this paper analyzes the application of persuasive design on products. It constructs a product emotion modeling database and optimizes the construction of product design model by combining orthogonal design method. The improved SO-PMI algorithm is proposed, and the SO-PMI algorithm is extended to enhance the emotion recognition ability in Chinese context. Adopt stratified sampling and domain equalization strategy for systematic collection, and construct a hybrid emotion corpus covering 2 domains. For the electronics dataset, the model in this paper gains improvement in precision, recall, and F1 value metrics, which are 0.6693, 0.7011, and 0.6848, respectively.For the home furnishing kitchen and bathroom dataset, the model in this paper also achieves the best performance. The proposed model demonstrates significant advantages on all three sentiment categories of the electronics dataset. The accuracy of 99% is achieved in the Home Kitchen and Bath dataset, which is 12.6% better than the original model.
