Show simple item record

dc.contributor.authorOrea-Giner, Alicia
dc.contributor.authorFuentes-Moraleda, Laura
dc.contributor.authorVillac´e-Molinero, Teresa
dc.contributor.authorMunoz-Mazon, Ana
dc.contributor.authorCalero-Sanz, Jorge
dc.date.accessioned2024-09-23T07:16:41Z
dc.date.available2024-09-23T07:16:41Z
dc.date.issued2022
dc.identifier.urihttps://thuvienso.hoasen.edu.vn/handle/123456789/15779
dc.descriptionTourism Management 93 (2022) 104586vi
dc.description.abstractThis 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 rating. To this end, text mining techniques are applied to TripAdvisor reviews by using Python 3.9.4. The results indicate a relationship between the emotions and sentiments detected in the reviews, the robots’ functional typologies and traveller categories. The originality of this research is mainly found in the quantification of the relationship between robot functionality, traveller type and rating given to the hotel considering the emotions and sentiments that emerge from the functional dimension of robots implemented in hotels.vi
dc.language.isoenvi
dc.publisherElserviervi
dc.subjectHuman-robot interaction,Sentiment analysis,Robots functionality,Traveller,TripAdvisor rating,Text miningvi
dc.titleDoes the Implementation of Robots in Hotels Influence the Overall TripAdvisor Rating? A Text Mining Analysis from the Industry 5.0 Approachvi
dc.typeArticlevi


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record