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There is a limited understanding of experience revelation in tourism. This study aims to fill the gap by investigating the influence of review platforms’ characteristics, i.e. time-dimension and interactivity, on this issue to generate a holistic view of customer experience.

This study analysed data from Google Reviews, TripAdvisors and Twitter, consisting of 41,914 records within a three-year span, about Komodo National Park, Indonesia. An explanatory sequential mixed method was performed, adopting quantitative sentiment analysis with a naïve algorithm, opinion lexicon and Latent Dirichlet Allocation for topic modelling, followed by a qualitative analysis.

The findings support the proposed interaction between the characteristics of the platforms and the extent of customer experience shared through the platforms. Further elaboration of the data brought up five propositions on the relationship between the time dimension and interactivity characteristics of the review platforms and experience sharing on the platforms.

This study presents an original and initial effort to gather a holistic view on customer experience. It brings valuable implications to the theory and practice of customer experience management, especially in the tourism sector.

目前文献对旅游体验启示的认识有限。 本研究通过调查评论平台的特征（即时间维度和交互性）对此问题的影响来填补空白, 以生成客户体验的整体视图。

本研究分析了来自谷歌评论、TripAdvisors 和 Twitter 的数据, 包括三年内关于印度尼西亚科莫多国家公园的 41,914 条记录。 运用了解释性顺序混合方法, 采用朴素算法、意见词典和隐含狄利克雷分布进行主题建模的定量情感分析, 然后进行定性分析。

调查结果支持所提出的平台特征与通过平台共享的客户体验程度之间的相互作用。 对数据的进一步阐述, 提出了评论平台的时间维度和交互特征与平台经验分享之间关系的五个命题。

本研究通过一项原创和初步的努力收集了关于客户体验的整体观点。 它为客户体验管理的理论和实践带来了宝贵的启示, 尤其是在旅游领域。