基于文本挖掘的酒店满意度分析与优化研究——以途牛网上海市酒店在线评论为例

Research on Hotel Satisfaction Analysis and Optimization Based on Text Mining—Taking Online Reviews of Shanghai Hotels on Tuniu.com as an Example

摘要: 随着酒店业的快速发展，电商平台的在线评论成为了研究消费者行为和改善酒店服务的重要资源。本研究综合应用了数据爬取技术、LDA主题建模方法以及SnowNLP模型的情感分析，对途牛网上海市酒店的评论数据进行了全面分析，深入探讨酒店评论中消费者的满意度及情感分布，了解消费者对酒店服务的核心需求，为酒店管理和服务优化提供了数据支撑。

Abstract: With the rapid development of the hotel industry, online reviews on e-commerce platforms have become an important resource for studying consumer behavior and improving hotel services. This research comprehensively applies data crawling technology of the Selenium library, LDA topic modeling method, and sentiment analysis of the SnowNLP model to conduct a thorough analysis of the review data of Shanghai hotels on Tuniu.com. It delves into the satisfaction and emotional distribution of consumers in hotel reviews, understanding the core needs of consumers for hotel services, and provides data support for hotel management and service optimization.