Reputation Analysis of E-commerce Products Based on Online Reviews—Take Amazon as an Example

Abstract

Based on the product review information of amazon from 2006 to 2016, this paper measures the correlation between star rating and text review. First, a supervised SVM model was established to classify text emotions. Second, the word2vec model was built to analyze the unsupervised emotion of the comment text. Third, the relationship between the special text and the score is obtained by using the grey metric model. In addition, the article has also carried on the principal component analysis to the commodity reputation, and has determined the representative good commodity and the inferior commodity. Finally, this paper puts forward some Suggestions for merchants, e-commerce platforms and governments.