Onyx: A Linked Data approach to emotion representation

Sánchez Rada, Juan Fernando y Iglesias Fernandez, Carlos Angel (2015). Onyx: A Linked Data approach to emotion representation. "Information Processing & Management" ; pp. 1-24. ISSN 0306-4573. https://doi.org/10.1016/j.ipm.2015.03.007.

Descripción

Título: Onyx: A Linked Data approach to emotion representation
Autor/es:
  • Sánchez Rada, Juan Fernando
  • Iglesias Fernandez, Carlos Angel
Tipo de Documento: Artículo
Título de Revista/Publicación: Information Processing & Management
Fecha: Marzo 2015
Materias:
Palabras Clave Informales: Emotion analysis, ontology, provenance, Linked Data, EmotionML, lexical resources
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
FP7EC/FP7/296277EUROSENTIMENTPARADIGMA TECNOLOGICO SLLanguage Resource Pool for Sentiment Analysis in European Languages

Más información

ID de Registro: 37389
Identificador DC: http://oa.upm.es/37389/
Identificador OAI: oai:oa.upm.es:37389
Identificador DOI: 10.1016/j.ipm.2015.03.007
URL Oficial: http://www.sciencedirect.com/science/article/pii/S030645731500045X
Depositado por: Memoria Investigacion
Depositado el: 07 Sep 2015 17:07
Ultima Modificación: 07 Sep 2015 17:07
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