Consumer sentiment analysis is a recent fad for social media-related applications such as healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …
J Li, L Xu, L Tang, S Wang, L Li - Tourism management, 2018 - Elsevier
Even at an early stage, diverse big data have been applied to tourism research and made an amazing improvement. This paper might be the first attempt to present a comprehensive …
The hospitality industry is highly vulnerable to pandemics. However, little is known about how pandemics alter travelers' evaluations of hospitality services. Therefore, this study …
H Lv, S Shi, D Gursoy - Journal of Hospitality Marketing & …, 2022 - Taylor & Francis
In reaction to the growing attention paid to big data and artificial intelligence in hospitality and tourism research, we systematically reviewed 270 relevant studies to identify topical …
N Hu, T Zhang, B Gao, I Bose - Tourism Management, 2019 - Elsevier
The ability to understand the causes of customers' complaints is critical for hotels to improve their service quality, customer satisfaction, and revenue. This study adopts a novel structural …
Customer segmentation via online reviews and ratings can assist different hotels, including spa hotels, to better inform marketing strategy development and ensure optimal marketing …
JM Luo, HQ Vu, G Li, R Law - International Journal of Hospitality …, 2021 - Elsevier
Robots and artificial intelligence are essential to the future of the hospitality industry, and they are receiving increasing interest from hotel managers and researchers. However, the …
Travelers can enjoy a wide range of choices with the assistance of online review websites such as TripAdvisor. Online reviews provided by customers are an important portion of …
This study aims to investigate the hotel selection differences among different types of travellers through online hotel reviews. Specifically, the study performs a detailed …