1. Exploring National Park Visitors’ Judgements from Social Media: The Case Study of Plitvice Lakes National Park
- Author
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Carlotta Sergiacomi, Dijana Vuletić, Alessandro Paletto, Elena Barbierato, and Claudio Fagarazzi
- Subjects
forest recreation ,protected area management ,text mining ,natural language processing ,sentiment analysis ,multidimensional scaling method ,web scraping ,customer satisfaction ,TripAdvisor reviews ,Forestry - Abstract
This study aims to conduct a survey of visitor reviews of the Plitvice Lakes National Park in Croatia to detect strengths and weaknesses of the park. In total, 15,673 reviews written in the period between 2007 and 2021 were scraped from the social media platform TripAdvisor. The research applies a comprehensive combination of multidimensional scaling, sentiment analysis, and natural language processing approaches to a sample area of international naturalistic interest. Analyzing the opinions of visitors, the authors identify: the main topics of interest related to the management of the park; and the strengths and weaknesses on the basis of definitely positive and decidedly negative reviews, respectively. The tested methodology is easily applicable for the analysis of different naturalistic contexts and protected areas, even in different countries, thanks to the use of translated reviews. The results obtained show that visitors to protected natural areas are not only interested in naturalistic and landscape aspects but also in issues such as accessibility and management of routes and visits.
- Published
- 2022