Research on Guilin Tourism Image Based on LDA
- DOI
- 10.2991/978-94-6463-024-4_10How to use a DOI?
- Keywords
- LDA model; sentiment analysis method; tourism perception image; “cognition-emotion” model
- Abstract
The image of a tourist destination is the core factor in the formation of a city’s tourist image, and is also a key factor in the decision-making of tourist attractions managers. This research takes Guilin tourist city as the research object, takes travel notes crawled by Ctrip travel website as the research data, uses LDA theme model and sentiment analysis method, based on the two-dimensional model of “cognition-emotion” constructed based on the image of tourist destination, to discuss Cognitive Image and Emotional Image of Guilin Tourism Purpose. The results show that: according to the LDA model, six major topics, namely, tourism landscape, local cuisine, entertainment activities, tourism services, commercialization degree, and experience perception of Guilin tourist city are the main image attributes perceived. The positive emotional tendency of tourists’ comments accounted for 61%, indicating that tourists’ overall perception of the image of Guilin tourist destinations is satisfied and recognized.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Changli Huang AU - Yanling Huang PY - 2022 DA - 2022/12/12 TI - Research on Guilin Tourism Image Based on LDA BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 78 EP - 84 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_10 DO - 10.2991/978-94-6463-024-4_10 ID - Huang2022 ER -