Topic Modelling and Sentiment Analysis of Visitor Experience at Historical Tourism Sites DOI

Ngoc Bui,

Thin Nguyen, Truyen Tran

и другие.

Communications in computer and information science, Год журнала: 2024, Номер unknown, С. 319 - 326

Опубликована: Ноя. 7, 2024

Язык: Английский

A fogyasztói magatartás vizsgálata a sötét turizmusban – Egy szisztematikus irodalomkutatás eredményei DOI Creative Commons
B. Mészáros

Modern Geográfia, Год журнала: 2025, Номер 20(1), С. 23 - 43

Опубликована: Янв. 1, 2025

The aim of this research is to thoroughly examine the internal and external factors influencing consumer behavior in context dark tourism by systematically reviewing international literature on subject. This grounded analysis 30 scientific articles, identified through an extensive search Web Science Scopus databases, subsequently filtered based various parameters using systematic review (SLR) method. findings reveal that highly diverse varies significantly among individuals. It shaped such as psychological, demographic, psychographic characteristics, well influences like destination image social networks. However, existing does not adequately address combined assessment factors, thereby limiting a comprehensive understanding decision-making.

Язык: Английский

Процитировано

0

The state of dark tourism research: a systematic review and agenda for future studies DOI
Victor Saha, Rehan Husain

Asia Pacific Journal of Tourism Research, Год журнала: 2025, Номер unknown, С. 1 - 27

Опубликована: Март 7, 2025

Язык: Английский

Процитировано

0

Exploring Guests’ Satisfaction and Dissatisfaction with Homestay Experiences: A Netnographic Study of a Rural Tourism Destination in Vietnam DOI Creative Commons
Tuyen Dai Quang,

Nguyet Minh Phan Tran,

Erose Sthapit

и другие.

International Journal of Hospitality & Tourism Administration, Год журнала: 2024, Номер unknown, С. 1 - 25

Опубликована: Май 2, 2024

Few studies have used online reviews to gain useful insights into homestay guests' satisfaction.This study responds demands from the existing literature on tourism in a rural destination context identify factors that contribute tourists' satisfaction and dissatisfaction by examining experiences Vietnam's Ben Tre province.User-generated content Booking.com was analyzed using netnographic approach.The data comprised 656 posts.The findings suggest guests achieve host families' attitudes language abilities, high-quality facilities bedrooms grounds, authentic cuisine, peaceful location, availability of complementary services, affordable prices.The contradict suggesting may seek familiarity, this largely not evident terms tourist food consumption while at destination.In addition, challenge indicating prices strong influence with tourism.

Язык: Английский

Процитировано

2

Creative cultural experience and destination loyalty: the role of cultural experiences, destination attachment, and cultural learning DOI
The‐Bao Luong

Tourism Recreation Research, Год журнала: 2024, Номер unknown, С. 1 - 17

Опубликована: Сен. 5, 2024

Язык: Английский

Процитировано

1

Determination of Satisfaction Levels of Individuals Participating in Cultural Tourism With ChatGPT DOI
Emre Yaşar, Erge TÜR, Eda Yayla

и другие.

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 89 - 110

Опубликована: Июль 16, 2024

ChatGPT plays a crucial role in analyzing online comments from tourists, as demonstrated this study. Through its analysis and interpretation capabilities, effectively identifies satisfaction factors tourist regarding Zelve Open Air Museum, Paşabağı, Güray Göreme National Park, Kaymaklı Underground City. By delineating both positive negative factors, adds new dimension to the evaluation of comments. Moreover, assigns scores these further enhancing contribution feedback. Overall, study highlights ChatGPT's ability parse comments, identify provide valuable insights into experiences.

Язык: Английский

Процитировано

0

Unveiling Negative Dimensions of Customer-Brand Relationships in Tourism: A Bibliometric Analysis DOI
Muhammad Junaid Shahid Hasni, Ammara Awan, Raouf Ahmad Rather

и другие.

Tourism, hospitality & event management, Год журнала: 2024, Номер unknown, С. 565 - 592

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Big Data Insights into Coastal Tourism: Analyzing Customer Satisfaction at Egyptian Red Sea Dive Resorts DOI Creative Commons
Yinai Zhong, Angellie Williady, Narariya Dita Handani

и другие.

Tourism and Hospitality, Год журнала: 2024, Номер 5(4), С. 996 - 1011

Опубликована: Окт. 22, 2024

This research aims to explore the relationship between customer satisfaction and various extracted factors at dive resorts in Red Sea, Egypt, utilizing a hybrid methodology of descriptive diagnostic analytics applied online review data. Employing techniques such as KH coder for text analysis, exploratory factor analysis (EFA), linear regression, this study systematically identifies key elements that influence satisfaction. Findings reveal activities related diving marine life markedly enhance guest satisfaction, underscoring critical role these aspects play overall appeal Egyptian coastal tourism. Conversely, areas dining amenities were identified needing improvement. The originality lies its application big data dissect understand feedback sector-specific context, providing strategic insights sustainable advancement tourism Egypt. By focusing on resorts, highlights their integral offers model leveraging reviews service quality promote practices within industry, contributing growth sustainability

Язык: Английский

Процитировано

0

Cultural Fusion at Pizza 4P’s Vietnam DOI

P. Lee

Tourism Cases, Год журнала: 2024, Номер unknown

Опубликована: Окт. 28, 2024

Information © The Author 2024

Язык: Английский

Процитировано

0

Topic Modelling and Sentiment Analysis of Visitor Experience at Historical Tourism Sites DOI

Ngoc Bui,

Thin Nguyen, Truyen Tran

и другие.

Communications in computer and information science, Год журнала: 2024, Номер unknown, С. 319 - 326

Опубликована: Ноя. 7, 2024

Язык: Английский

Процитировано

0