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A Thousand Words Express a Common Idea? Understanding International Tourists’ Reviews of Mt. Huangshan, China, through a Deep Learning Approach

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Listed:
  • Cheng Chai

    (School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK)

  • Yao Song

    (School of Design, The Hong Kong Polytechnic University, Hong Kong 80309, China)

  • Zhenzhen Qin

    (School of Journalism and Communication, Anhui Normal University, Wuhu 241002, China)

Abstract

Tourists’ experiential perceptions and specific behaviors are of importance to facilitate geographers’ and planners’ understanding of landscape surroundings. In addition, the potentially significant role of online user generated content (UGC) in tourism landscape research has only received limited attention, especially in the era of artificial intelligence. The motivation of the present study is to understand international tourists’ online reviews of Mt. Huangshan in China. Through a state-of-the-art natural language processing network (BERT) analyzing posted reviews across international tourists, our results facilitate relevant landscape development and design decisions. Second, the proposed analytic method can be an exemplified model to inspire relevant landscape planners and decision-makers to conduct future researches. Through the clustering results, several key topics are revealed, including international tourists’ perceptual image of Mt. Huangshan, tour route planning, and negative experience of staying.

Suggested Citation

  • Cheng Chai & Yao Song & Zhenzhen Qin, 2021. "A Thousand Words Express a Common Idea? Understanding International Tourists’ Reviews of Mt. Huangshan, China, through a Deep Learning Approach," Land, MDPI, vol. 10(6), pages 1-15, May.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:6:p:549-:d:559392
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    References listed on IDEAS

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    1. Collins-Kreiner, Noga & Kliot, Nurit, 2016. "Particularism vs. Universalism in Hiking Tourism," Annals of Tourism Research, Elsevier, vol. 56(C), pages 132-137.
    2. David M. Fisher & Spencer A. Wood & Young-Hee Roh & Choong-Ki Kim, 2019. "The Geographic Spread and Preferences of Tourists Revealed by User-Generated Information on Jeju Island, South Korea," Land, MDPI, vol. 8(5), pages 1-17, April.
    3. Artem Timoshenko & John R. Hauser, 2019. "Identifying Customer Needs from User-Generated Content," Marketing Science, INFORMS, vol. 38(1), pages 1-20, January.
    4. Ashlee Humphreys & Rebecca Jen-Hui Wang & Eileen FischerEditor & Linda PriceAssociate Editor, 2018. "Automated Text Analysis for Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(6), pages 1274-1306.
    5. Meng Wang, 2020. "Applying Internet information technology combined with deep learning to tourism collaborative recommendation system," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-18, December.
    6. Gary Akehurst, 2009. "User generated content: the use of blogs for tourism organisations and tourism consumers," Service Business, Springer;Pan-Pacific Business Association, vol. 3(1), pages 51-61, March.
    7. Sergej Schmunk & Wolfram Höpken & Matthias Fuchs & Maria Lexhagen, 2013. "Sentiment Analysis: Extracting Decision-Relevant Knowledge from UGC," Springer Books, in: Zheng Xiang & Iis Tussyadiah (ed.), Information and Communication Technologies in Tourism 2014, edition 127, pages 253-265, Springer.
    8. Estela Marine-Roig & Salvador Anton Clave, 2015. "A Method for Analysing Large-Scale UGC Data for Tourism: Application to the Case of Catalonia," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 3-17, Springer.
    9. Mike W. Peng & Yuan Li & Longwei Tian, 2016. "Tian-ren-he-yi strategy: An Eastern perspective," Asia Pacific Journal of Management, Springer, vol. 33(3), pages 695-722, September.
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    Cited by:

    1. Alastair M. Morrison, 2022. "Editorial: Land Issues and Their Impact on Tourism Development," Land, MDPI, vol. 11(5), pages 1-6, April.

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