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Memorias de investigación
Artículos en revistas:
Depechemood++: a bilingual emotion lexicon built through simple yet powerful techniques
Año:2019
Áreas de investigación
  • Inteligencia artificial (redes neuronales, lógica borrosa, sistemas expertos, etc)
Datos
Descripción
Several lexica for sentiment analysis have been developed; while most of these come with word polarity annotations (e.g., positive/negative), attempts at building lexica for finer-grained emotion analysis (e.g., happiness, sadness) have recently attracted significant attention. They are often exploited as a building block for developing emotion recognition learning models, and/or used as baselines to which the performance of the models can be compared. In this work, we contribute two new resources, that we call DepecheMood++ (DM++): a) an extension of an existing and widely used emotion lexicon for English; and b) a novel version of the lexicon, targeting Italian. Furthermore, we show how simple techniques can be used, both in supervised and unsupervised experimental settings, to boost performance on datasets and tasks of varying degree of domain-specificity. Also, we report an extensive comparative analysis against other available emotion lexica and state-of-the-art supervised approaches, showing that DepecheMood++ emerges as the best-performing non-domain-specific lexicon in unsupervised settings. We also observe that simple learning models on top of DM++ can provide more challenging baselines. We finally introduce embedding-based methodologies to perform a) vocabulary expansion to address data scarcity and b) vocabulary porting to new languages in case training data is not available.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Transactions on Affective Computing
ISSN
1949-3045
Factor de impacto JCR
7,512
Información de impacto
Datos JCR del año 2019
Volumen
DOI
Número de revista
Desde la página
1
Hasta la página
1
Mes
SIN MES
Ranking
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Participantes
  • Autor: Oscar Araque Iborra (UPM)
  • Autor: Lorenzo Gatti (Human Media Interaction, Twente University)
  • Autor: Jacopo Staiano (reciTAL, Paris)
  • Autor: Marco Guerini (Fondazione Bruno Kessler (FBK))
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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