基于情感分析的电商商品评论多维度评价模型研究
Research on a Multi-Dimensional Evaluation Model for E-Commerce Product Reviews Based on Sentiment Analysis
摘要: 本文针对电子商务平台海量用户评论的分析需求，提出一种基于情感分析的多维度商品评价模型。通过爬取电商平台商品评论数据，构建情感词典库，从价格、质量、服务、物流、款式、舒适度六个维度建立情感评分体系，并利用雷达图实现可视化展示。结果表明，该模型能有效挖掘评论数据价值，为电商企业优化运营和消费者决策提供支持。
Abstract: This paper addresses the need to analyze massive volumes of user reviews on e-commerce platforms by proposing a sentiment analysis-based multi-dimensional product evaluation model. By crawling product review data from e-commerce platforms and constructing a sentiment lexicon database, we established a sentiment scoring system across six dimensions: price, quality, service, logistics, style, and comfort. The results were visualized using radar charts. Our findings demonstrate that this model can effectively uncover the value of review data, providing support for e-commerce businesses to optimize operations and assisting consumers in making informed decisions.
文章引用：谷凌霄. 基于情感分析的电商商品评论多维度评价模型研究[J]. 电子商务评论, 2025, 14(12): 1877-1889. https://doi.org/10.12677/ecl.2025.14124063

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