Research on Sentiment Analysis Model of Online Shopping Product Evaluation Based on Machine Learning

Abstract

Based on the sentiment analysis of commodity evaluation text, a self-updating iterative algorithm is proposed to solve the problem of the mismatch between commodity evaluation and scoring, and the experiment proves that the algorithm is simple and efficient, and the accuracy of commodity evaluation can reach more than 99.17%.