Memorias de investigación
Communications at congresses:
Senpy: A Pragmatic Linked Sentiment Analysis Framework
Year:2016

Research Areas
  • Engineering

Information
Abstract
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.
International
Si
Congress
IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
960
Place
Montreal, Canadá
Reviewers
Si
ISBN/ISSN
978-1-5090-5206-6
Start Date
17/10/2016
End Date
19/10/2016
From page
735
To page
742
IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos