[HTML][HTML] Applications of text mining in services management: A systematic literature review

S Kumar, AK Kar, PV Ilavarasan - International Journal of Information …, 2021 - Elsevier
The importance of text mining is increasing in services management as the access to big
data is increasing across digital platforms enabling such services. This study adopts a …

Sentiment analysis in hospitality and tourism: a thematic and methodological review

F Mehraliyev, ICC Chan, AP Kirilenko - International Journal of …, 2022 - emerald.com
Purpose This study aims to conduct a systematic review and critically analyze the sentiment
analysis literature in hospitality and tourism from methodological (data sets and analyzes) …

[HTML][HTML] Does the implementation of robots in hotels influence the overall tripadvisor rating? A text mining analysis from the Industry 5.0 approach

A Orea-Giner, L Fuentes-Moraleda… - Tourism …, 2022 - Elsevier
This research explores the relationship between customers' emotions and sentiments
generated by the interaction with robots in hotels and the potential effect on the hotel's …

Travelers' online review on hotel performance–Analyzing facts with the Theory of Lodging and sentiment analysis

G Roy - International Journal of Hospitality Management, 2023 - Elsevier
This study analyzes how customers' online review sentiments (positive, negative, and
neutral valence) and lodging experience vary across luxury, mid-tier, and low-tier hotels …

An exploration of the factors influencing social media continuance usage and information sharing intentions among Korean travellers

K Hur, TT Kim, OM Karatepe, G Lee - Tourism management, 2017 - Elsevier
The tourism and hospitality industry is largely influenced by the use of social media.
However, there is still a need for more empirical research about the factors social media …

[HTML][HTML] Natural language processing applied to tourism research: A systematic review and future research directions

MÁ Álvarez-Carmona, R Aranda… - Journal of king Saud …, 2022 - Elsevier
The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …

Artificial intelligence for hospitality big data analytics: develo** a prediction model of restaurant review helpfulness for customer decision-making

M Lee, W Kwon, KJ Back - International Journal of Contemporary …, 2021 - emerald.com
Purpose Big data analytics allows researchers and industry practitioners to extract hidden
patterns or discover new information and knowledge from big data. Although artificial …

An empirical investigation of online review helpfulness: A big data perspective

HS Choi, S Leon - Decision Support Systems, 2020 - Elsevier
This study investigates the determinants of online review helpfulness, adopting various
predictors from three dimensions of the online review management: source factors, review …

Progression and development of information and communication technology research in hospitality and tourism: A state-of-the-art review

R Law, D Leung, ICC Chan - International Journal of Contemporary …, 2020 - emerald.com
Purpose This study aims to present a state-of-the art review on information and
communication technology (ICT) research in hospitality and tourism published between …

The impact of online reviews on destination trust and travel intention: The moderating role of online review trustworthiness

L Su, Q Yang, SR Swanson… - Journal of Vacation …, 2022 - journals.sagepub.com
This study explores the impact of the valence (positive/negative) and emotional intensity
(strong/weak) of online reviews on potential Chinese visitors' travel intentions and trust of a …