The rise of online short rental platforms has brought more choices for people's accommodation. However, for consumers, they have no direct access to housing products. Therefore, the perceived quality of previous online reviews of tenants has certain referenced value for them to understand housing sources and make purchasing decisions. To study the influence of online comments’ perceived quality on tenants' rental decision, this paper uses Python to crawl the housing data of Xiaozhu short rental platform, through content analysis and multiple regression analysis, to extract three dimension of perceived quality of the platform: Responsiveness, Reliability, and Assurance. This study shows that Reliability and Assurance in online reviews have significant positive effects for the tenants’ rental decisions. This study provides a special dimension of perceived quality for online short rental platforms and has certain theoretical value and practical significance.