Does the Implementation of Robots in Hotels Influence the Overall TripAdvisor Rating? A Text Mining Analysis from the Industry 5.0 Approach
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 rating. To this end, text mining techniques are applied to TripAdvisor reviews by using Python 3.9.4. The results indicate a r...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad Rey Juan Carlos |
| Repositorio: | BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos |
| OAI Identifier: | oai:burjcdigital.urjc.es:10115/24443 |
| Acceso en línea: | https://hdl.handle.net/10115/24443 |
| Access Level: | acceso abierto |
| Palabra clave: | Human-robot interaction Sentiment analysis Robots functionality Traveller TripAdvisor rating Text mining |
| Sumario: | 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 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. |
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