Emotion Detection Problem: Current Status , Challenges and Future Trends
Global Proceedings Repository
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Title |
Emotion Detection Problem: Current Status , Challenges and Future Trends
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Creator |
Rusul S. Sadkhan
Sattar B. Sadkhan |
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Description |
Emotions has great effects in human intelligence, social interaction, decision making, learning, memory, creativity and perception. The emotion nature is multidimensional and is triggered mainly by physiological responses and situational cues. Greater attention in the natural language field attracts the emotions researches due to the wide applications existing within this field. The automatic emotion detection in texts can be considered as important task in many applications, like affective computing, pervasive computing, market analysis, e-learning environments and educational games. To redefine problems outside normal boundaries, a multidisciplinary solutions based on a new understanding of complex situations are used. This paper presents description of the current status of text emotion detection, and the different challenges facing such techniques. Some of the future concepts are mentioned in this paper to enhance the research trends to be considered in this important field.
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Publisher |
Int'l Conference on Change, Innovation, Informatics and Disrurptuive Technology
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Contributor |
—
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Date |
2016-12-17 16:50:44
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Type |
Peer-reviewed Paper
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Format |
application/pdf
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Identifier |
http://proceedings.sriweb.org/repository/index.php/ICCIIDT/icciidtt_london/paper/view/7
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Source |
Int'l Conference on Change, Innovation, Informatics and Disrurptuive Technology; ICCIIDT London - UK
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Language |
en
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Rights |
Authors who submit to this conference agree to the following terms: a) Authors retain copyright over their work, while allowing the conference to place this unpublished work under a Creative Commons Attribution License, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference. b) Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book), with an acknowledgement of its initial presentation at this conference. c) In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website) at any point before and after the conference. |
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