2024, Volume 1, Issue 1: 19-25. DOI: 10.00000/TSSC.2024.100004

Research Article | 9 January 2024
1 School of Digital Economic and Management, Software Engineering Institute of Guangzhou, Guangzhou 510000, China
* Corresponding Author
Received: 31 December 2024, Accepted: 8 January 2024, Published: 9 January 2024

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 enterprise's development plan and improvement strategy.

Graphical Abstract

Keywords
Yuanshengxian Store
Fresh Food E-commerce
Online reviews
Consumer satisfaction

Cite This Article
J. Pan (2024). Consumer Satisfaction Based on Online Reviewsof Fresh Food E-commerce Platforms: Take YuanShengXian Store As an Example. IECE Transactions on Social Statistics andComputing, 1(1), 19–25. https://doi.org/10.00000/TSSC.2024.100004

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