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Realms of aesthetic experience of classical Chinese gardens based on semantic analysis of online tourism reviews

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Listed:
  • Mengyuan Xu

    (Guilin University of Technology)

  • Yuanyu Wang

    (Guilin University of Technology)

  • Haitao Yu

    (Guilin University of Technology)

Abstract

The study of classical Chinese garden aesthetics has yielded long-term and extensive insights through the lens of traditional Chinese landscape design theory. However, little attention has been paid to the empirical investigation of the transition pattern between different realms of aesthetic experience using quantitative methods. This research selected seven classical Chinese gardens in southeast China as research cases and analyzed 12,864 online reviews on Ctrip, an online travel agency in China, as the data sources. Garden aesthetic elements were measured using natural language processing and encoding technology. A probability transition model of the realms of aesthetic experience was constructed based on a Markov chain and used to mine the transition pattern of the aesthetic realms. The novel mixed approach of big data mining and the modeling of aesthetic realms enriched the knowledge of aesthetic experience and provided a new research paradigm for the experiences of cultural heritage by tourists.

Suggested Citation

  • Mengyuan Xu & Yuanyu Wang & Haitao Yu, 2025. "Realms of aesthetic experience of classical Chinese gardens based on semantic analysis of online tourism reviews," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04438-2
    DOI: 10.1057/s41599-025-04438-2
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    References listed on IDEAS

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    1. Jiayan Yun & Joonhyun Kim, 2019. "Sociocultural factors of the late Ming and early Qing Chinese garden landscape, based on philosophies seen in , , and," Landscape Research, Taylor & Francis Journals, vol. 44(2), pages 174-185, February.
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    3. Peichao Dai & Shaoliang Zhang & Zanxu Chen & Yunlong Gong & Huping Hou, 2019. "Perceptions of Cultural Ecosystem Services in Urban Parks Based on Social Network Data," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    4. Capriello, Antonella & Mason, Peyton R. & Davis, Boyd & Crotts, John C., 2013. "Farm tourism experiences in travel reviews: A cross-comparison of three alternative methods for data analysis," Journal of Business Research, Elsevier, vol. 66(6), pages 778-785.
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