Abstract This study addresses a problem of dynamic pricing of fresh fruit in terms of online review sentiment analysis. An online review sentiment analysis method that integrates edge sampling and collaborative training is proposed. And a dynamic pricing model of fresh fruit based on online review sentiment analysis is constructed. The proposed model is solved by an alternating direction multiplier method with Gaussian back substitution. Through numerical simulation and sensitivity analysis, the retailer’s optimal pricing decision is obtained. The results show that online reviews with positive feedback emotions can promote the sales of fresh fruit. Retailers make decisions to increase the price of fresh fruit based on the results of sentiment analysis and obtain higher profits than other pricing strategies. In addition, by comparing and analyzing the iterative results of the improved algorithm proposed in this study and the traditional alternating direction multiplier method, it is found that the organic combination of the alternating direction multiplier method and the Gaussian back substitution has faster convergence.
JIANG Yiping,ZHANG Ting,XIA Zhengming等. Fresh Fruit Dynamic Pricing Based on Sentiment Analysis of Online Reviews[J]. Chinese Journal of Management, 2022, 19(12): 1837-.
