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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributorUniversidad ICESI
dc.contributor.authorAriza, Esteban
dc.contributor.authorGiraldo, Johan
dc.contributor.authorValdés, Mateo
dc.contributor.authorGrimaldi, Didier
dc.date.accessioned2026-03-17T19:36:10Z
dc.date.available2026-03-17T19:36:10Z
dc.date.created2024
dc.date.issued2024-09-25
dc.identifier.isbn9781643685434ca
dc.identifier.issn1879-8314ca
dc.identifier.urihttp://hdl.handle.net/20.500.14342/6076
dc.description.abstractUsers can share their opinion visiting a restaurant or a hotel by Online Generated Reviews (OGRs) on platforms such as TripAdvisor, Booking or Yelp. Put all together, they are thousands of sentences which are quite difficult to seize for a human and to get a comprehensive opinion of the location. This study proposes a Decision Support System (DSS) composed of three modules (extraction of information from TripAdvisor comments, summarizing and rating). Compared to prior Research, our solution proposes a Neural Network Transformer-based system to summarize and rate thousands of TripAdvisor comments. Our results are bifold. First, the analysis of massive comments downloads reveals a bias between the real customer experience based on verbal opinions and the ratings scored in stars. Second, we present and online host a DSS which provides a summary of customer experiences per hotel. For Research in Tourism and Hospitality, it represents a new milestone in the artificial Intelligence journey and an application of Generative Pretrained Transformer (GPT) model. For operation Managers, it is a novel application of the use of artificial intelligence to embrace the digital revolution. Indeed, it helps to determine what customers value most and determine adequate action plan to business requirements.ca
dc.format.extent4 p.ca
dc.language.isoengca
dc.publisherIOS Pressca
dc.relation.ispartofArtificial Intelligence Research and Development - Proceedings of the 26th International Conference of the Catalan Association for Artificial Intelligenceca
dc.rights© L'autor/aca
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subject.otherNatural language processingca
dc.subject.otherSentiment analysisca
dc.subject.otherNeural network transformerca
dc.subject.otherHotel industryca
dc.subject.otherArtificial intelligenceca
dc.titleThe use of GPT and social media for operations management. Application in hospitality smart servicesca
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc004ca
dc.subject.udc62ca
dc.subject.udc65ca
dc.identifier.doihttps://doi.org/10.3233/FAIA240425ca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc/4.0/
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