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

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

Author

Listed:
  • Meining Gu

    (Liaoning University)

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.

Suggested Citation

  • Meining Gu, 2024. "Shanghai Disney Image Analysis and Improvement Suggestions Based on ROST Text Analysis," Advances in Economics, Business and Management Research, in: Feng-xia Cao & Satya Narayan Singh & Ahmad Jusoh & Deepanjali Mishra (ed.), Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023), pages 811-818, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-368-9_96
    DOI: 10.2991/978-94-6463-368-9_96
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