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Comparison of Memorable Tourist Experiences Based on Collections of Reviews from Trip Advisor: Acropolis of Athens and Royal Alcazar of Seville

In: Transcending Borders in Tourism Through Innovation and Cultural Heritage

Author

Listed:
  • Fernando Toro Sánchez

    (University of Seville)

Abstract

The Memorable Tourist Experience (MTE) is a scientific concept within the studies on Tourism that is developed based on several related constructions: Perceived Confidence, Sincerity, Authenticity, and Satisfaction. This work takes this model established by the work of Dr. Babak Taheri in 2018 on Monuments World Heritage of Unesco, adopting an alternative data collection method to the face-to-face survey. Therefore, this work takes as a source of data the reviews collected in the recommendation platform TripAdvisor, working the same constructions of the MTE, with the collection of similar terms and the relationships between them. In order to highlight the terms, a first step is established with the use of Natural Language Processing (NLP), followed by the use of Machine Learning (ML) techniques to generate the relationships between the constructor defined in the models. The study makes a comparison using the same method, between the Acropolis of Athens and the Royal Alcazars of Seville, both declared UNESCO World Heritage Sites, using the same type of data source in the same period of time. The results of the study go in two directions: on the one hand to find similarities in the study of the specific MTE of both monuments with the hypotheses worked in the original model of Taheri. In addition to highlighting possible distinctive elements of each case and furthermore within the value contribution of the visit when it is led by an official tour guide. On the other hand, giving presence to the model of obtaining data by reviews as a complementary data source of any tourist study.

Suggested Citation

  • Fernando Toro Sánchez, 2022. "Comparison of Memorable Tourist Experiences Based on Collections of Reviews from Trip Advisor: Acropolis of Athens and Royal Alcazar of Seville," Springer Proceedings in Business and Economics, in: Vicky Katsoni & Andreea Claudia Şerban (ed.), Transcending Borders in Tourism Through Innovation and Cultural Heritage, pages 943-960, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-92491-1_56
    DOI: 10.1007/978-3-030-92491-1_56
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    More about this item

    Keywords

    Machine learning in tourism; UNESCO world heritage; Natural language processing; Memorable tourism experience; TripAdvisor;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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