Abstract
Detecting human emotions is an important reserach task in intelligent systems. This paper in the following sections outlines the issue of sentiment analysis with emphasis on recent research direction in emotion detection in text. Firstly, we describe emotions from a psychological point of view. We depict accepted and most used emotional models (categorical, dimensional and appraisal-based). Next, we describe what sentiment analysis is and its interconnection with emotions. We take a closer look at methods used in sentiment analysis taking into consideration emotion detection. Each method will be covered by a few studies. At the end, we propose utilization of emotion detection in the text in human-machine interaction.
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Tarhanicova, M., Machova, K., Sinčák, P. (2015). Computers Capable of Distinguishing Emotions in Text. In: Sinčák, P., Hartono, P., Virčíková, M., Vaščák, J., Jakša, R. (eds) Emergent Trends in Robotics and Intelligent Systems. Advances in Intelligent Systems and Computing, vol 316. Springer, Cham. https://doi.org/10.1007/978-3-319-10783-7_6
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DOI: https://doi.org/10.1007/978-3-319-10783-7_6
Publisher Name: Springer, Cham
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