Research Article
Research on Comments Preference Based on Online Comments of Tourists from High-star Hotels in Guilin
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322624, author={Yu LAN and Yanling HUANG and Jiansheng YAO and Yutong LU}, title={Research on Comments Preference Based on Online Comments of Tourists from High-star Hotels in Guilin}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={user comments; customer preference; satisfaction; word frequency analysis; ctrip}, doi={10.4108/eai.17-6-2022.2322624} }- Yu LAN
Yanling HUANG
Jiansheng YAO
Yutong LU
Year: 2022
Research on Comments Preference Based on Online Comments of Tourists from High-star Hotels in Guilin
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322624
Abstract
Taking advantage of user-generated comments, this paper analyzes the customer satisfaction scores from 78,134 user-generated comments of 57 high-star hotels in Guilin obtained from Ctrip.com. And sentiment analysis to explore the attention factors and emotional preferences of customers, and finally classify customers according to different travel types, generate word cloud diagrams through their comment content, analyze their attention to different aspects of the hotel, and then get different types of customers’ s preferences in terms of facilities and services, etc. On the basis of the conclusion, this paper puts forward some countermeasures and suggestions on hotel management, providing scientific reference for the development and marketing of Guilin hotels, besides the internal management and service optimization of hotels, and then contributing to the high-quality development of Guilin's accommodation industry and tourism.
