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   <dc:title>The use of GPT and social media for operations management. Application in hospitality smart services</dc:title>
   <dc:creator>Ariza, Esteban</dc:creator>
   <dc:creator>Giraldo, Johan</dc:creator>
   <dc:creator>Valdés, Mateo</dc:creator>
   <dc:creator>Grimaldi, Didier</dc:creator>
   <dc:contributor>Universitat Ramon Llull. La Salle</dc:contributor>
   <dc:contributor>Universidad ICESI</dc:contributor>
   <dc:subject>Natural language processing</dc:subject>
   <dc:subject>Sentiment analysis</dc:subject>
   <dc:subject>Neural network transformer</dc:subject>
   <dc:subject>Hotel industry</dc:subject>
   <dc:subject>Artificial intelligence</dc:subject>
   <dc:subject>004</dc:subject>
   <dc:subject>62</dc:subject>
   <dc:subject>65</dc:subject>
   <dc:description>Users 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.</dc:description>
   <dc:description>info:eu-repo/semantics/publishedVersion</dc:description>
   <dc:date>2024-09-25</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:identifier>9781643685434</dc:identifier>
   <dc:identifier>1879-8314</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14342/6076</dc:identifier>
   <dc:identifier>https://doi.org/10.3233/FAIA240425</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Artificial Intelligence Research and Development - Proceedings of the 26th International Conference of the Catalan Association for Artificial Intelligence</dc:relation>
   <dc:rights>© L'autor/a</dc:rights>
   <dc:rights>Attribution-NonCommercial 4.0 International</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>4 p.</dc:format>
   <dc:publisher>IOS Press</dc:publisher>
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