Research on Ceramic E-commerce Product Review Analysis Based on Semantic Analysis

Emotional factors play an increasingly important role in the selection and design of ceramic products. This study used semantic analysis to analyse the emotion of ceramic product reviews. There are three main processes in this study: semantic analysis of comment text, calculation of product affective value, and linear fitting of product affective value. In the process of semantic analysis, ROSTCM6 is used to calculate the emotional polarity of the ceramic product comment text, and the emotional value can be calculated by comparison with the feature dictionary. The parameters obtained by fitting the calculated results can be used as a reference for the analysis of ceramic products. Analysing the product reviews left by consumers can not only help other consumers understand the features of the products intuitively but also urge merchants to improve the design of the products they offer, quickly grasp market trends, and make adjustments in a timely manner.