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Memorias de investigación
Artículos en revistas:
Onyx: A Linked Data approach to emotion representation
Año:2016
Áreas de investigación
  • Telemática
Datos
Descripción
Extracting opinions and emotions from text is becoming increasingly important, especially since the advent of micro-blogging and social networking. Opinion mining is particularly popular and now gathers many public services, datasets and lexical resources. Unfortunately, there are few available lexical and semantic resources for emotion recognition that could foster the development of new emotion aware services and applications. The diversity of theories of emotion and the absence of a common vocabulary are two of the main barriers to the development of such resources. This situation motivated the creation of Onyx, a semantic vocabulary of emotions with a focus on lexical resources and emotion analysis services. It follows a linguistic Linked Data approach, it is aligned with the Provenance Ontology, and it has been integrated with the Lexicon Model for Ontologies (lemon), a popular RDF model for representing lexical entries. This approach also means a new and interesting way to work with different theories of emotion. As part of this work, Onyx has been aligned with EmotionML and WordNet-Affect.
Internacional
Si
JCR del ISI
Si
Título de la revista
Information Processing & Management
ISSN
0306-4573
Factor de impacto JCR
1,265
Información de impacto
Q2 JCR 2014 (1.265)
Volumen
52
DOI
10.1016/j.ipm.2015.03.007
Número de revista
1
Desde la página
99
Hasta la página
114
Mes
ENERO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Juan Fernando Sanchez Rada (UPM)
  • Autor: Carlos Angel Iglesias Fernandez (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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