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Showing 1 to 4 of 4 for “"emotion categories"”.

  1. FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT

    <p>Automatic emotion detection in text is concerned with using natural language processing techniques to recognize emotions expressed in written discourse. Endowing computers with the ability to recognize emotions in a particular kind of text, microblogs, has important applications in sentiment …

    syracuse-diss Repository record for FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT (opens in a new tab)

  2. Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality

    Multimodal emotion recognition has long been a popular topic in affective computing since it significantly enhances the performance compared with that of a single modality. Among all, the combination of electroencephalography (EEG) and eye movement signals is one of the most attractive practices …

    washington Repository record for Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality (opens in a new tab)

  3. An Analysis of Grey Theory for Personal Affective Computing

    … intelligence for computing with mood and emotion, has been rapidly growing since its inception in the late 1990s, however model-based affective computing remains limited. This thesis proposes grey theory, in particular grey systems analysis, as a potential model for affective computing. …

    de-montfort Repository record for An Analysis of Grey Theory for Personal Affective Computing (opens in a new tab)

  4. Deep Emotion Analysis of Personal Narratives

    The automatic analysis of emotions is a well-established area in the natural language processing ( NLP ) research field. It has shown valuable and relevant applications in a wide array of domains such as health and well-being, empathetic conversational agents, author profiling, consumer analysis, …

    trento Repository record for Deep Emotion Analysis of Personal Narratives (opens in a new tab)