Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023)

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Shanghai Disney Image Analysis and Improvement Suggestions Based on ROST Text Analysis

Authors
Meining Gu1, *
1Liaoning University, Liaoning, 110136, China
*Corresponding author. Email: Gmn15668886824@163.com
Corresponding Author
Meining Gu
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-368-9_96How to use a DOI?
Keywords
text analysis; sentiment analysis; tourism destination image; Shanghai Disney
Abstract

Shanghai Disney Park is the Disney Group’s first theme park in mainland China, and its unique charm and strong brand influence have made it a globally popular tourist destination. Since its opening, Shanghai Disney has been super-popular, and some negative comments have arisen. This paper mainly analyses the overall image of Shanghai Disney on social networks. Consumer evaluations on social networks can influence the choices of other consumers, and some negative evaluations may “dissuade” consumers from visiting the park. The focus of this paper is on negative online text reviews, analyzing the causes of negative reviews and proposing targeted solutions to maintain the image of Shanghai Disney as a tourist destination. By crawling the reviews of Shanghai Disney from Dianping, based on the ROST network text analysis method, this paper analyzes the word frequency and semantic sentiment of the positive and negative reviews of Disney tourists, and put forward corresponding improvement suggestions based on the results of the analysis, which can help to promote the satisfaction of tourists, and can also provide experience and references for other theme parks.

Copyright
© 2024 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.

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Volume Title
Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
14 February 2024
ISBN
10.2991/978-94-6463-368-9_96
ISSN
2352-5428
DOI
10.2991/978-94-6463-368-9_96How to use a DOI?
Copyright
© 2024 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

risenwbib
TY  - CONF
AU  - Meining Gu
PY  - 2024
DA  - 2024/02/14
TI  - Shanghai Disney Image Analysis and Improvement Suggestions Based on ROST Text Analysis
BT  - Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023)
PB  - Atlantis Press
SP  - 811
EP  - 818
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-368-9_96
DO  - 10.2991/978-94-6463-368-9_96
ID  - Gu2024
ER  -