Customer satisfaction analysis and preference prediction in historic sites through electronic word of mouth DOI
Mehrbakhsh Nilashi, Alireza Fallahpour, Kuan Yew Wong

et al.

Neural Computing and Applications, Journal Year: 2022, Volume and Issue: 34(16), P. 13867 - 13881

Published: April 12, 2022

Language: Английский

From reviews to reflections: Understanding tourist sentiments and satisfaction in African destinations through user-generated content DOI
Esi Akyere Mensah, Doreen Anyamesem Odame, Isaac Ankrah

et al.

Annals of Tourism Research Empirical Insights, Journal Year: 2025, Volume and Issue: 6(1), P. 100174 - 100174

Published: April 8, 2025

Language: Английский

Citations

0
Rethinking value co-creation and loyalty in virtual travel communities: How and when they develop DOI

Tengteng Zhu,

Lu Zhang, Zeng Chu-hong

et al.

Journal of Retailing and Consumer Services, Journal Year: 2022, Volume and Issue: 69, P. 103097 - 103097

Published: Aug. 21, 2022

Language: Английский

Citations

17
The effect of a hotel's star-rating-based expectations of safety from the pandemic on during-stay experiences DOI
Veenus Tiwari, Abhishek Mishra

Journal of Retailing and Consumer Services, Journal Year: 2022, Volume and Issue: 71, P. 103223 - 103223

Published: Dec. 5, 2022

Language: Английский

Citations

17
NLP-Driven Insights on Boutique Hotel Satisfaction DOI
Arindra Nath Mishra, Jie Li, Pooja Sengupta

et al.

Journal of Computer Information Systems, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: June 13, 2024

Boutique hotels are highly desirable due to their personalized service. However, studies have not examined differentiating factors of boutique that could explain the nuances this profitable niche in hospitality industry. It is also difficult ascertain customers' needs through feedback and surveys as they do explicitly highlight reasons for satisfaction or dissatisfaction. In study, we attempt assess 12,949 user reviews collected from TripAdvisor understand drivers stay experience satisfaction. We use a natural language processing (NLP)-based methodology extract important themes information predict star ratings. This paper demonstrates ease booking an determinant satisfaction; while service, facilities/amenities, major causes dissatisfaction guests. Further, compared US UK markets discovered market favors experiences prefers more amenities.

Language: Английский

Citations

3
Customer satisfaction analysis and preference prediction in historic sites through electronic word of mouth DOI
Mehrbakhsh Nilashi, Alireza Fallahpour, Kuan Yew Wong

et al.

Neural Computing and Applications, Journal Year: 2022, Volume and Issue: 34(16), P. 13867 - 13881

Published: April 12, 2022

Language: Английский

Citations

16