Memorias de investigación
Artículos en revistas:
Senpy: A framework for semantic sentiment and emotion analysis services
Año:2019
Áreas de investigación
  • Ingenierías
Datos
Descripción
Senpy is a framework to develop, evaluate and publish web services for sentiment and emotion analysis in text. The framework is aimed towards both developers and users. For developers, it is a means to evaluate their classifiers and easily publish them as web services. For users, it is a way to consume sentiment analysis from different providers through the same interface. This is achieved through a combination of an API aligned with the NLP Interchange Format (NIF) service specification, the use of semantic formats and a series of well established vocabularies. The framework is Open Source, and has been used extensively in several projects. As a result, several Senpy Open Source services are available for use and download.
Internacional
Si
JCR del ISI
No
Título de la revista
Knowledge-Based Systems
ISSN
0950-7051
Factor de impacto JCR
5,101
Información de impacto
Volumen
DOI
10.1016/j.knosys.2019.105193
Número de revista
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1
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3
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Participantes
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