In the future hotel industry, midscale hotel has become the most potential market segment. The academic research in this area is not that deep so far, while online reviews have also become the most important information for reference when tourists select which hotel will be the idea to reserve. The paper took the emerging representative of the Chinese midscale hotels: Atour Hotel group as the research samples. Based on the selected online comment data, web crawler technology, semantic analysis, analytic hierarchy process (AHP) and viewpoint data method were applied to sort the weight of indexes in hotels and to establish the evaluation system of the customer satisfaction. This system is going to assess the customer satisfaction so that we could analyze consumer experience information contained in customer network reviews. We then raised the suggestion on external marketing and reputation management of midscale hotel based on above conclusion. The main innovation of this paper is that it provides different hotels methods about how to establish their customer satisfaction evaluation methods and index system, which are suitable for their online review features.