Intelligent Hotel Resource Sharing System Based on Data Fusion

Abstract

In order to further develop cross-platform hotel resource sharing, a cross-platform comparative study of user review text of intelligent hotel resource sharing system based on data fusion is proposed. X hotel reservation platform and Z short-term rental platform were selected as the experimental objects, and 86,635 user comment texts of relevant housing sources in a city were collected. Cross-platform comparative analysis of user text comments was conducted by combining the LDA model-themed social network and the theme sentiment analysis method. The experiment result shows the following: Based on the emotional score of each theme, the positive, negative, and neutral emotional intensity values of hotel platform reviews were 0.76, 0.06, and 0.18, respectively, and the emotional intensity values of shared accommodation platform were 0.82, 0.05, and 0.11, respectively. The research finds the similarities and differences between the two platforms in the social network and emotion of the topic and explains the substitutability and complementarity of the two platforms in products and services from the perspective of microuser comments. Conclusion. This study provides an important practical reference for platform managers to develop and improve accommodation products and services.