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This research explores the relationship between customers’ emotions and sentiments generated by the interaction robots in hotels and the potential effect on the hotel’s rating. To this end, text mining techniques are applied TripAdvisor reviews by using Python 3. 9. 4. The results indicate a relationship between the emotions and detected in the reviews, the robots’ functional typologies and traveller categories. The originality of research is mainly found in the quantification of the relationship between robot functionality, traveller type rating given to the hotel considering the emotions and sentiments that emerge from the functional dimension robots implemented in hotels.
Orea-Giner et al. (Sat,) studied this question.