Memorias de investigación
Artículos en revistas:
Onyx: A Linked Data approach to emotion representation
Año:2015
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
1,069
Información de impacto
Datos JCR del año 2013
Volumen
DOI
10.1016/j.ipm.2015.03.007
Número de revista
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1
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16
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  • Creador: Departamento: Ingeniería de Sistemas Telemáticos