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IECE Transactions on Social Statistics and Computing | Volume 1, Issue 1: 19-25, 2024 | DOI:10.62762/TSSC.2024.433223
Abstract
Online reviews are a vital tool for both businesses and customers to understand each other's requirements and to learn about the features and quality of products. This paper uses word frequency statistics and semantic network analysis to analyze the factors affecting consumer satisfaction into five categories: service, quality, logistics, packaging, and price. The research object is text reviews of various products from YuanShengXian's flagship store. The analysis yields a consumer sentiment evaluation for each influencing factor. The theoretical framework of the new e-commerce satisfaction assessment is further enhanced and improved by this study, which also serves as a guide for the enterp... More >
Graphical Abstract
