Research Paper:
Sentiment Analysis of Online Reviews for 5A-Level Tourist Attractions
Lianchao Meng*1,*2, Jingjing Chen*3, Jian Song*4, and Guoxia Sun*1,*2,†
*1School of Tourism Culture, The Tourism College of Changchun University
Sheling Street, Shuangyang District, Changchun 130607, China
*2Jilin Province Research Center for Cultural Tourism Education and Enterprise Development, The Tourism College of Changchun University
Sheling Street, Shuangyang District, Changchun 130607, China
*3Business School, Jilin Business and Technology College
No.1666 Karen Lake Street, Jiutai Economic Development Zone, Changchun 130102, China
*4School of Economics, Jilin University
No.2699 Qianjin Street, Chaoyang District, Changchun 130012, China
†Corresponding author
This study aims to explore tourists’ sentiment tendencies and focal points by analyzing online reviews of 5A-level tourist attractions. After conducting data cleaning, word segmentation, stop-word filtering, and part-of-speech tagging, we preprocessed the review texts and utilized the ROSTCM6 software for sentiment analysis. The study found that most tourists hold a positive attitude toward their experiences at 5A-level attractions, though there remains room for improvement in certain facilities and services. This research provides valuable feedback for attraction managers to enhance the visitor experience.
The image shows the high-frequency words for Emei Mountain scenic area
- [1] R. Wang, H. L. Ling, J. Chen, and L. Gui, “Analysis of factors influencing the quality of red tourism based on online review data,” Times Economy and Trade, Vol.21, No.10, pp. 124-128, 2024.
- [2] S. B. Zhou and C. Y. Chen, “A study on the experience perception of ecotourism–Taking Meili Snow Mountain as an example,” Forestry Economy, pp. 1-17, 2024. https://doi.org/10.13843/j.cnki.lyjj.20241025.001
- [3] X. L. Zhang and Y. Y. Sun, “Tourism image perception of traditional village scenic spots: An empirical study of Xijingyu Art and Culture Village in Tianjin,” J. of Tianjin Chengjian University, Vol.30, No.5, pp. 313-319, 2024.
- [4] L. Dou, “A study on the impact of positive online word-of-mouth on tourists’ shopping intention in tourist cities – Based on the mediating role of perceived fraud,” Commercial Exhibition Economy, No.19, pp. 34-37, 2024.
- [5] Y. G. Hu and L. B. Hu, “Perceived imagery of urban red tourism network and its emotional analysis based on platform big data–Taking Nanchang city as an example,” Jiangxi Science, Vol.42, No.5, pp. 1132-1138, 2024.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.