Observatorio de I+D+i UPM

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
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Esta actividad pertenece a memorias de investigación

• Autor: Juan Fernando Sanchez Rada (UPM)
• Autor: Carlos Angel Iglesias Fernandez (UPM)

• Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
• Departamento: Ingeniería de Sistemas Telemáticos