With the popularity of mobile network and the emergence of online booking platform，the development of the accommodation industry shows great vitality and rapid development momentum. In the age of Internet，people consult comments on the Internet platform as an important reference for decision-making of their leisure destination accommodation experience. At the same time，through the completion of their own experience，these customers will publish this experience on the Internet platform or in the self media comment area for other consumers’ reference. This research is based on the evaluation mechanism on the network platform website. By collecting and analyzing the hot spots of such network comments，we make word frequency statistics on the network evaluations collected on several major bookings. The word frequency statistics uses the Chinese word segmentation database of python，and the output results are arranged in descending order in excel. The first 100 words of the network evaluation of the tourism homestay are sorted out，and the environmental construction，service quality and main factors are analyzed Through data statistics and data analysis，this paper outlines the areas of concern in the annual online review of home stay consumers，and provides a coordinate reference system for home stay operators and consumers.