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

Meining Gu ()
Additional contact information
Meining Gu: Liaoning University

A chapter in Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023), 2024, pp 811-818 from Springer

Abstract: 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.

Keywords: text analysis; sentiment analysis; tourism destination image; Shanghai Disney (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-368-9_96

Ordering information: This item can be ordered from
http://www.springer.com/9789464633689

DOI: 10.2991/978-94-6463-368-9_96

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().