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    Emotion detection state of the art

    Access Status
    Fulltext not available
    Authors
    Binali, Haji
    Potdar, Vidyasagar
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Binali, Haji and Potdar, Vidyasagar. 2012. Emotion detection state of the art, in Potdar, V. and Debajyoti, M. (ed), Proceedings of the CUBE International Information Technology Conference (CUBE 2012), Sep 3-5 2012, pp. 501-507. Pune, India: Association for Computing Machinery.
    Source Title
    Proceedings of The Cube International Information Technology Conference
    Source Conference
    CUBE 2012
    DOI
    10.1145/2381716.2381812
    ISBN
    9781450311854
    URI
    http://hdl.handle.net/20.500.11937/8777
    Collection
    • Curtin Research Publications
    Abstract

    Emotion recognition and analysis has been extensively researched in neuroscience, psychology, cognitive science and computer science. In the absence of verbal and facial cues commonly associated with recognizing emotions, can emotions be detected via intelligently analyzing textual information? Our main goal is to answer this question by presenting a state-of the- art overview of studies that have been carried out in the domain of text based emotion detection. To this end, we will explore how emotions are detected from textual sources. We begin with a discussion of currently prevailing emotion theories that provide the basis for text based emotion detection. To achieve an in depth and scientifically structured evaluation, we study the underlying structure of several approaches in the literature and design an evaluation framework. Existing approaches are critically evaluated against the proposed evaluation framework. In particular, the results of various systems are discussed and contrasted. The outcome of such a detailed analysis highlights the current gaps in scientific literature in the field of automated emotion detection.

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