TY - GEN
T1 - An in-depth survey of techniques employed in construction of emotional lexicon
AU - Kulkarni, Pallavi V.
AU - Nagori, Meghana B.
AU - Kshirsagar, Vivek P.
N1 - Publisher Copyright:
© 2019, Springer Nature Singapore Pte Ltd.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Crowdsourcing
KW - Emotion recognition
KW - Emotional lexicon
KW - Natural language processing
KW - WordNet-Affect
UR - http://www.scopus.com/inward/record.url?scp=85059702904&partnerID=8YFLogxK
U2 - 10.1007/978-981-13-1742-2_61
DO - 10.1007/978-981-13-1742-2_61
M3 - Conference contribution
AN - SCOPUS:85059702904
SN - 9789811317415
T3 - Smart Innovation, Systems and Technologies
SP - 609
EP - 620
BT - Information and Communication Technology for Intelligent Systems - Proceedings of ICTIS 2018
A2 - Satapathy, Suresh Chandra
A2 - Joshi, Amit
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Information and Communication Technology for Intelligent Systems, ICTIS 2018
Y2 - 6 April 2018 through 7 April 2018
ER -