Examining transaction-specific satisfaction and trust in Airbnb and hotels. An application of BERTopic and Zero-shot text classification
With a methodological approach, this article explores the application of data mining to the user-generated content of tourist accommodation on infomediation platforms and social networks. Its objective is to present an algorithm that allows the identification of service characteristics relevant to g...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2003 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/171295 |
| Acceso en línea: | https://hdl.handle.net/11441/171295 https://doi.org/10.18089/tms.2023.190202 |
| Access Level: | acceso abierto |
| Palabra clave: | Airbnb Hotels Satisfaction Trust BERT Zero-Shot Hoteles Satisfacción Confianza |
| Sumario: | With a methodological approach, this article explores the application of data mining to the user-generated content of tourist accommodation on infomediation platforms and social networks. Its objective is to present an algorithm that allows the identification of service characteristics relevant to guest satisfaction and trust. Our study processes unstructured, natural-language data about Airbnb and hotel stays (the final dataset was 12,236 Airbnb sentences and 12,200 hotel sentences from 2018 until September 25 2021). Among the results is a computational algorithm that uses BERTopic to identify latent themes (or topics) in the narratives. Secondly, our analysis applies a Zero-shot classification approach for classifying guest reviews into labels related to guests' satisfaction and trust. Thirdly, we execute a Principal Component Analysis to investigate the sufficiency relationships between extracted topics, customer satisfaction, and trust-based labels. To sum up, and as practical implications, our study adds to the knowledge about the sharing economy by providing insights for developing marketing policies and a better understanding of hospitality services. |
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