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Memorias de investigación
Ponencias en congresos:
Senpy: A Pragmatic Linked Sentiment Analysis Framework
Año:2016
Áreas de investigación
  • Ingenierías
Datos
Descripción
Sentiment and emotion analysis technologies have quickly gained momentum in industry and academia. This popularity has spawned a myriad of service and tools. Due to the lack of common interfaces and models, each of these services imposes specific interfaces and representation models. Heterogeneity makes it costly to integrate different services,evaluate them or switch between them. This work aims to remedy heterogeneity by providing an extensible framework and an API aligned with the NLP Interchange Format service specification. It also includes a reference implementation, a first step towards a successful and cost-effective adoption. The specific contributions in this paper are: (i) the Senpy framework; (ii) an architecture for the framework that follows a plug-in approach; (iii) a reference open source implementation of the architecture; (iv) the use and validation of the framework and architecture in a big data sentiment analysis European project. Our aim is to foster the development of a new generation of emotion aware services by isolating the development of new algorithms from the representation of results and the deployment of services.
Internacional
Si
Nombre congreso
IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
Tipo de participación
960
Lugar del congreso
Montreal, Canadá
Revisores
Si
ISBN o ISSN
978-1-5090-5206-6
DOI
Fecha inicio congreso
17/10/2016
Fecha fin congreso
19/10/2016
Desde la página
735
Hasta la página
742
Título de las actas
IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Juan Fernando Sanchez Rada (UPM)
  • Autor: Carlos Angel Iglesias Fernandez (UPM)
  • Autor: Oscar Araque Iborra (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos
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