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

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Publicado en:Humanities & Social Sciences Communications vol. 12, no. 1 (Dec 2025), p. 101
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Springer Nature B.V.
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022 |a 2662-9992 
022 |a 2055-1045 
024 7 |a 10.1057/s41599-025-04438-2  |2 doi 
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045 2 |b d20251201  |b d20251231 
245 1 |a Realms of aesthetic experience of classical Chinese gardens based on semantic analysis of online tourism reviews 
260 |b Springer Nature B.V.  |c Dec 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Gardens & gardening 
653 |a Research methodology 
653 |a Perceptions 
653 |a Landscape architecture 
653 |a Social networks 
653 |a Semantic analysis 
653 |a Design 
653 |a Emotions 
653 |a Tourism 
653 |a Philosophy 
653 |a Spirituality 
653 |a Aesthetics 
653 |a Markov analysis 
653 |a Semantics 
653 |a Quantitative analysis 
653 |a Data processing 
653 |a Internet 
653 |a Data mining 
653 |a Research 
653 |a Cultural heritage 
653 |a Experience 
653 |a Chinese languages 
653 |a Big Data 
653 |a Encoding 
653 |a Natural language processing 
653 |a Information retrieval 
773 0 |t Humanities & Social Sciences Communications  |g vol. 12, no. 1 (Dec 2025), p. 101 
786 0 |d ProQuest  |t Social Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3161312368/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
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