Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda

M Knani, S Echchakoui, R Ladhari - International Journal of Hospitality …, 2022 - Elsevier
Artificial intelligence (AI) has received a great deal of attention in tourism and hospitality
(T&H) literature and practices. The authors of this study propose a bibliometric approach …

Big data and analytics in hospitality and tourism: a systematic literature review

M Mariani, R Baggio - International Journal of Contemporary …, 2022 - emerald.com
Purpose The purpose of this work is to survey the body of research revolving around big
data (BD) and analytics in hospitality and tourism, by detecting macro topical areas …

A topic modeling comparison between lda, nmf, top2vec, and bertopic to demystify twitter posts

R Egger, J Yu - Frontiers in sociology, 2022 - frontiersin.org
The richness of social media data has opened a new avenue for social science research to
gain insights into human behaviors and experiences. In particular, emerging data-driven …

[HTML][HTML] Mining the text of online consumer reviews to analyze brand image and brand positioning

M Alzate, M Arce-Urriza, J Cebollada - Journal of Retailing and Consumer …, 2022 - Elsevier
The growth of the Internet has led to massive availability of online consumer reviews. So far,
papers studying online reviews have mainly analysed how non-textual features, such as …

Past, present, and future of electronic word of mouth (EWOM)

S Verma, N Yadav - Journal of Interactive Marketing, 2021 - journals.sagepub.com
Communication platforms are undergoing a transition from physical to digital spaces. The
Internet has radically changed the business scenario wherein people have become the …

Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse

AA Alalwan - International Journal of Information Management, 2020 - Elsevier
Mobile food ordering apps (MFOAs) have been widely considered in the restaurant sector as
innovative channels to reach customers and provide them with high-quality services …

A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews

PK Jain, R Pamula, G Srivastava - Computer science review, 2021 - Elsevier
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 …

Big data in tourism research: A literature review

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 …

Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand

V Taecharungroj, B Mathayomchan - Tourism Management, 2019 - Elsevier
The purpose of the current research is to develop a methodology that can analyse online
reviews using machine learning techniques in such a way that practitioners in the fields of …

An online reviews-driven large-scale group decision making approach for evaluating user satisfaction of sharing accommodation

F Ji, Q Cao, H Li, H Fujita, C Liang, J Wu - Expert Systems with Applications, 2023 - Elsevier
To promote the development of the peer-to-peer (P2P) accommodation in sharing economy,
it is important to understand and ensure the determinants of high-level user satisfaction …