The Realms Experience of Fishing Tourism

Study on Tripadvisor world reviews on the Pine and Gilmore model

Authors

  • Fernando Toro Sánchez PhD. Tourism (University of Seville)
  • Eva Martín-Fuentes University of Sevilla
  • Vladimir Perdomo Verdicia University of Sevilla

Keywords:

fishing tourism, machine learning, artificial intelligence, sustainable tourism, netnographic

Abstract

Fishing Tourism is an activity that often favours sustainability objectives in the area where it is developed . This work aims to describe the user experience in Fishing Tourism through a netnographic analysis of reviews of different Fishing Tourism activities where the texts of the comments are divided into sentences to better relate them to the different variables of the study, for which artificial intelligence is applied  The study model is analysed with Machine Learning techniques combining different supervised and unsupervised analyses and with great graphical value, which favours decision-making by tour operators and research interpretation for scientists.

Findings from this study are directly applicable to marketing efforts in other tourism experiences 

Methodologically, separating the reviews by sentences through the use of IA expands the elements of analysis and at the same time concretised the relationships between the expressions and the variables of study by narrowing and refining the context.

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Published

2024-12-19

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Extended abstract