| Issue |
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 5 | |
| Section | Economic Innovation and Talent Development Technology | |
| DOI | https://doi.org/10.1051/shsconf/202317002001 | |
| Published online | 14 June 2023 | |
Exploring Tourist Experience of Island Tourism Based on Text Mining: A Case Study of Jiangmen, China
School of Economics and Management, Wuyi University, Jiangmen, China
* Corresponding author: morucong@126.com
Island tourism is an important part of the development of the marine economy. Understanding the tourist experience of island tourism is conducive to promoting the development of marine tourism. This study takes the main island tourism attractions in Jiangmen, China, as a case, and analyzes the tourist experience of island tourism through a text mining method based on the text reviews of tourists on Ctrip. The study shows that beach, hotel, attraction, seafood and seawater are the main discourse system core of tourists’ evaluation of island tourism. Tourists’ sentiment evaluation of island tourism is generally positive. Nice, convenient, clean, cheap and comfortable are the main sentiment characteristic words of tourists. The results of LDA topic model analysis show that tourists island tourism experience is mainly divided into four categories: coastal scenery, seafood cuisine, beach environment and entrance service.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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