This study aims to explore the success factors of tourism performing arts (TPA) programs by analyzing a large data set of online reviews.
A total of 195,230 reviews from Ctrip.com were collected and preprocessed. A deep learning method was leveraged to estimate the similarity between words. Then, regression analysis was conducted to determine success factors.
This study extracted four positive and two negative factors affecting tourist satisfaction with tourism performance arts. The results demonstrate that the tourists paid the most attention to the traditional Chinese cultural aspects, audiovisual effects and the actors’ performing enthusiasm.
Despite this study’s large data set, the focused was only on Chinese reviews. It would be useful and interesting to compare the success factors of tourism performance arts programs offered in different countries.
The study findings can contribute to the development of TPA programs to attract tourists to travel destinations.
This study demonstrates that analyzing online reviews of TPA through text mining technology is an effective method of understanding tourist satisfaction.
共收集和预处理来自携程网的 195,230 条评论。利用深度学习方法来估计单词之间的相似性。然后, 进行回归分析以确定成功因素。
This work was supported by the National Natural Science Foundation of China [grant numbers 61872074]. The authors thank the Foreign Language Writing Center of Jeonbuk National University for their language editing services.
Cui, Y., Kim, S. and Feng, S. (2023), "Exploring success factors of tourism performing arts by analyses of online reviews", Journal of Hospitality and Tourism Technology, Vol. 14 No. 1, pp. 37-52. https://doi.org/10.1108/JHTT-05-2021-0140
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