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Descripción
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| The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting factor for multimodal analysis, since recognition services from different modalities (audio, video, text) tend to have different representation models (e. g., continuous vs. discrete emotions). This work presents a multi-disciplinary effort to alleviate this problem by formalizing conversion between emotion models. The specific contributions are: i) a semantic representation of emotion conversion; ii) an API proposal for services that perform automatic conversion; iii) a reference implementation of such a service; and iv) validation of the proposal through use cases that integrate different emotion models and service providers. | |
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Internacional
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Si |
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Nombre congreso
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Emotion and Sentiment in Social and Expressive Media: User Engagement and Interaction |
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Tipo de participación
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960 |
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Lugar del congreso
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Tejas, USA |
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Revisores
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Si |
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ISBN o ISSN
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978-1-5386-0680-3 |
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DOI
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10.1109/ACIIW.2017.8272599 |
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Fecha inicio congreso
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23/10/2017 |
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Fecha fin congreso
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26/10/2017 |
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Desde la página
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111 |
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Hasta la página
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116 |
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Título de las actas
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2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos |