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Comparing deep-learning architectures and traditional machine-learning approaches for satire identification in spanish tweets
ArticleAbstract: Automatic satire identification can help to identify texts in which the intended meaning differs froPalabras claves:Automatic satire identification, Natural Language processing, Text classificationAutores:García-Díaz J.A., Jose Medina-Moreira, Luna Harry Aveiga, Óscar Apolinario-Arzube, Valencia-Garcia R.Fuentes:googlescopusOpinion mining for measuring the social perception of infectious diseases. an infodemiology approach
Conference ObjectAbstract: Prior to the digital era, knowing the perception of society towards the health-system was done throuPalabras claves:Infectious diseases, Infoveillance, Natural Language processing, sentiment analysisAutores:García-Díaz J.A., Jose Medina-Moreira, José Omar Salavarria-Melo, Katty Lagos-Ortiz, Luna Harry Aveiga, Óscar Apolinario-Arzube, Valencia-Garcia R.Fuentes:scopusImportance of International R&D Collaboration Between Companies: The CollaborativeHealth Use Case
Conference ObjectAbstract: International R&D activities are strategical to provide solutions that can solve global problems byPalabras claves:Infodemiology, Natural Language processing, Ontologies, Progressive web appsAutores:Casal G., García-Díaz J.A., Óscar Apolinario-Arzube, Prieto-González L., Roldán D., Valencia-Garcia R.Fuentes:scopusSentiment analysis on tweets related to infectious diseases in South America
Conference ObjectAbstract: Infectious diseases have a huge social and economic impact. They are caused by pathogenic microorganPalabras claves:Infectious diseases, Natural Language processing, sentiment analysisAutores:García-Díaz J.A., Jose Medina-Moreira, Katty Lagos-Ortiz, Luna Harry Aveiga, Óscar Apolinario-Arzube, Valencia-Garcia R.Fuentes:scopus