| Issue |
ITM Web Conf.
Volume 77, 2025
2025 International Conference on Education, Management and Information Technology (EMIT 2025)
|
|
|---|---|---|
| Article Number | 01053 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/itmconf/20257701053 | |
| Published online | 02 July 2025 | |
Analysis of tourist attraction image based on user evaluation data: A case study of Yellow Crane Tower
1 School of Management, Wuhan Polytechnic University, Wuhan, China
2 School of Management, Huazhong University of Science and Technology, Wuhan, China
* Corresponding author: 13871064635@163.com
This research focuses on the yellow Crane Tower scenic area with a long history, uses big data analysis technology to extensively collect online comment data from different tourism platforms, uses ROST Content Mining tools to analyze the word frequency, accurately capture the high-frequency words in the comments, and makes in-depth discussions with the help of social network and semantic network analysis technology. At the same time, the emotion analysis method is used to evaluate the consistency between the actual tourist experience and the official tourism image. The study finds that there is a significant difference between tourists' perception and the official image of the attraction, which may be caused by the modernization of the Yellow Crane Tower, that its commercial operations do not match tourists' expectations of historic sites, and the inadequacy of transportation and infrastructure. Based on these, the study puts forward targeted suggestions to improve tourist experience and enhance the image of scenic spots.
Key words: Yellow Crane Tower / User comment data / Network text analysis / image of scenic spots
© The Authors, published by EDP Sciences, 2025
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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