Understanding Visitor Sentiment of Batu Cave Destination through TripAdvisor and Vlogger Content Reviews DOI Creative Commons
Yerik Afrianto Singgalen

Journal of Information Systems and Informatics, Год журнала: 2024, Номер 6(2), С. 899 - 918

Опубликована: Июнь 13, 2024

This study utilizes the CRISP-DM framework to conduct a comprehensive sentiment analysis of visitor reviews for Batu Cave, leveraging advanced tools such as VADER, TextBlob, and SVM model. The 1201 TripAdvisor reveal critical perceptions, highlighting both positive aspects, site's beauty cultural significance, areas needing improvement, including accessibility conduct. model demonstrates high performance with an accuracy 94.25% AUC scores 0.966 (optimistic), 0.962 (standard), 0.958 (pessimistic). Furthermore, toxicity from Perspective API range 0.05055 0.89882, identifying enhancing interactions. These findings underscore importance using data-driven approaches improve destination management satisfaction. provides valuable insights policymakers, guiding strategic planning sustainable development tourist destinations. Consequently, research offers robust foundation informed decision-making in tourism sector, aiming enhance overall experience at Cave.

Язык: Английский

Digital Engagement and Visitor Satisfaction at World Heritage Sites: A Study on Interaction, Authenticity, and Recommendations in Coastal China DOI Creative Commons

Yuan Zhang,

Árpád Papp-Váry, Zoltán Szabó

и другие.

Administrative Sciences, Год журнала: 2025, Номер 15(3), С. 110 - 110

Опубликована: Март 19, 2025

This study investigates the impact of digital transformation on visitor satisfaction, engagement, and recommendation intentions at World Heritage Sites in Chinese coastal cities. A survey-based quantitative research design was employed, collecting data from four hundred two respondents across eight cities using systematic random sampling. structural equation modeling (SEM) applied to analyze relationships among participation, perceived authenticity, behaviors. Results highlight that technologies such as VR AR enhance driving Extending Cultural Authenticity Theory satisfaction–loyalty frameworks, emphasizes dynamic interplay tools cultural narratives. Practical recommendations focus implementing culturally sensitive, interactive strategies strengthen heritage tourism’s sustainability. Future is encouraged explore emerging like AI metaverse.

Язык: Английский

Процитировано

0
Understanding Visitor Sentiment of Batu Cave Destination through TripAdvisor and Vlogger Content Reviews DOI Creative Commons
Yerik Afrianto Singgalen

Journal of Information Systems and Informatics, Год журнала: 2024, Номер 6(2), С. 899 - 918

Опубликована: Июнь 13, 2024

This study utilizes the CRISP-DM framework to conduct a comprehensive sentiment analysis of visitor reviews for Batu Cave, leveraging advanced tools such as VADER, TextBlob, and SVM model. The 1201 TripAdvisor reveal critical perceptions, highlighting both positive aspects, site's beauty cultural significance, areas needing improvement, including accessibility conduct. model demonstrates high performance with an accuracy 94.25% AUC scores 0.966 (optimistic), 0.962 (standard), 0.958 (pessimistic). Furthermore, toxicity from Perspective API range 0.05055 0.89882, identifying enhancing interactions. These findings underscore importance using data-driven approaches improve destination management satisfaction. provides valuable insights policymakers, guiding strategic planning sustainable development tourist destinations. Consequently, research offers robust foundation informed decision-making in tourism sector, aiming enhance overall experience at Cave.

Язык: Английский

Процитировано

0