Sentiment Analysis of Tourists in Rural Tourism Destinations Based on Online Reviews: A Case Study of Wuyuan
DOI: https://doi.org/10.62381/E254417
Author(s)
Yongfen Zhang1,2
Affiliation(s)
1School of Tourism and Economic Management, Nanchang Normal University, Nanchang, Jiangxi, China
2Jiangxi Tourism Industry Upgrading Research Center, Nanchang, Jiangxi, China
Abstract
To deeply explore the genuine attitudes of tourists in online reviews and their influencing factors, this study adopts the emotional theory under the tourist experience framework. From an emotional perspective, Wuyuan Scenic Area is selected as the research subject. By collecting tourist reviews from three online travel platforms—Ctrip, Tongcheng, and Dianping—the study first conducts text mining to analyze the review data, extracting high-frequency words and constructing a semantic network relationship diagram. Next, sentiment quantification analysis is performed on the segmented text of the reviews to calculate sentiment scores and classify them into positive or negative sentiment tendencies. Finally, through comparative analysis, the main focus points of tourists' positive and negative sentiments are identified, thereby determining the key factors influencing tourist evaluations. The research findings can provide guidance for improving tourism products and services, enhancing tourist experiences, and boosting the appeal and competitiveness of tourism destinations.
Keywords
Online Reviews; Sentiment Analysis; Wuyuan; Semantic Network Analysis; Word Frequency Analysis
References
[1] Ma Yanli. Research on Tourist Sentiment and Influencing Factors in the Yungang Grottoes Scenic Area Based on Online Review Text Analysis. China National Exhibition, 2023, (23): 84-86.
[2] Shen Junxin, Lin Jiahui, Li Jing. Research on Perception of Tourism Service Quality in Yunnan Based on Big Data Text Analysis. West Forum on Economy and Management, 2022, 33(6): 87-96.
[3] Cao Z, Xu H, Teo BS-X. Sentiment of Chinese Tourists towards Malaysia Cultural Heritage Based on Online Travel Reviews. Sustainability, 2023, 15(4): 3478.
[4] Tian Fengjun, Wang Zhonglie, Li Xiao, et al. Spatiotemporal Characteristics and Influencing Factors of Tourists' Emotions in Rural Tourism Destinations: A Case Study of Wuyuan. Economic Geography, 2024, 44(01): 221-229. DOI: 10.15957/j.cnki.jjdl.2024.01.022
[5] Guo Xudong, Hu Lü, Li Maoqiang, et al. Construction of Tourist Sentiment Analysis Model from the Perspective of Online Review Data Mining: A Case Study of Seven Star Crags Scenic Spot in Zhaoqing City. Technology Innovation and Application, 2024, 14(13): 9-13.
[6] Zhai Y, Chen P. Sentiment Analysis on Tourist Satisfaction with Rural Homestay Inns Based on Reviews from the Website of Online Travel Agency. International Journal of Sustainable Development and Planning, 2020, 15(5): 705-712.
[7] Tan Ying, Zhang Jin, Xia Lixin. Research on the Development and Current Status of Semantic Networks. Documentation, Information & Knowledge, 2019, (06): 102-110.
[8] Thomsen, Chuhan and Miyoung Jeong. An analysis of Airbnb online reviews: user experience in 16 U.S. cities. Journal of Hospitality and Tourism Technology, 2020, 12: 97-111.
