학술논문

Exploring National Park Visitors’ Judgements from Social Media: The Case Study of Plitvice Lakes National Park
Document Type
article
Source
Forests, Vol 13, Iss 5, p 717 (2022)
Subject
forest recreation
protected area management
text mining
natural language processing
sentiment analysis
multidimensional scaling method
Plant ecology
QK900-989
Language
English
ISSN
1999-4907
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.