[Objective] Based on online reviews, this paper constructs a framework for analyzing tourist satisfaction and provides a new research perspective for the sustainable development of rural tourism. [Methods] With the visitor comments about scenic areas, we built a tourist satisfaction analysis framework using the IPA model. Then, we used the unsupervised method to extract the visitors’ fine-grained attribute opinions about the scenic attractions. Third, we evaluated the visitors’ perceived emotions and the importance of different attributes with SnowNLP and XGBoost. Finally, we analyzed the satisfaction of attraction attributes with the IPA model. [Results] Empirical analysis demonstrates that the constructed framework can identify user opinions and analyze satisfaction levels for different attributes. The advantages of Hongcun scenic area include natural scenery and entertainment, which can be emphasized in promoting the area. On the other hand, consumer perception, commercialization, and tourism services need improvement. Furthermore, visitor flow, dining options, infrastructure, and scenic area management are low-priority development options that can be sequentially improved when sufficient resources are available. [Limitations] The experimental dataset has data imbalance issues in the ratings. [Conclusions] According to the analysis results of tourist satisfaction in the case study, this paper explores management and marketing strategies to promote the sustainable development of scenic areas, providing new insights into related issues in tourism.