Abstract
Emotion is a state of mind affected by many external parameters one of which is text either read or spoken by others or self. Recognition of emotion from facial expression, sound intensity, or text is becoming an interesting research area. Extracting emotions from text is quite unfocused but important research problem from natural language processing domain. It requires the construction of emotional lexicon in respective natural language for classification of text/document into emotional classes. In this paper, an overview of the state-of-the-art techniques used to construct emotional lexicon for different languages is given. These methods are in their initial stage of research as much of the work is conducted for optimizing the results and hence open to wide field of innovative contributions. The author concludes with a proposal for developing language independent emotional lexicon. Main challenges in implementing this are discussed and promising applications in various fields are also elaborated.
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Kulkarni, P.V., Nagori, M.B., Kshirsagar, V.P. (2019). An In-Depth Survey of Techniques Employed in Construction of Emotional Lexicon. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_61
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