Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Experience Economy Perspective on Recreational Fishing Tourism Travelers’ Reviews: A Data Science Approach

Version 1 : Received: 1 March 2024 / Approved: 1 March 2024 / Online: 1 March 2024 (12:49:50 CET)

How to cite: Yfantidou, G.; Yfantidou, S.; Karanatsiou, D.; Liontakis, A.; Maniopoulou, M.; Balaska, P.; Papaioannou, A.; Vassilopoulou, V. Experience Economy Perspective on Recreational Fishing Tourism Travelers’ Reviews: A Data Science Approach. Preprints 2024, 2024030041. https://doi.org/10.20944/preprints202403.0041.v1 Yfantidou, G.; Yfantidou, S.; Karanatsiou, D.; Liontakis, A.; Maniopoulou, M.; Balaska, P.; Papaioannou, A.; Vassilopoulou, V. Experience Economy Perspective on Recreational Fishing Tourism Travelers’ Reviews: A Data Science Approach. Preprints 2024, 2024030041. https://doi.org/10.20944/preprints202403.0041.v1

Abstract

This study explores the Experience Economy dimensions within fishing tourism, adopting a data science perspective by employing web crawling for extensive data gathering on reviewer profiles from TripAdvisor. Utilizing Natural Language Processing (NLP) techniques, it scrutinizes the relationship between Experience Economy dimensions and user profiling aspects. Findings reveal "Entertainment" as the predominant dimension in tourist reviews, followed by "Aesthetic," "Educational," and "Escapist." Particularly notable are the frequent co-occurrences of "Entertainment"-"Aesthetic" and "Educational"-"Entertainment" pairs. The practical implications underscore the potential socioeconomic benefits of fishing tourism for local communities and fishermen, emphasizing the necessity for governmental support in terms of infrastructure, leadership, legislation, and financial backing to foster sustainable development in this sector. Notably, this research stands as a pioneering effort in its focus on Experience Economy dimensions and user profiling within the context of fishing tourism, drawing data from business pages and user profiles.

Keywords

fishing tourism; sustainable tourism; recreation; experience economy; TripAdvisor; user profiling; Natural Language Processing

Subject

Business, Economics and Management, Business and Management

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.