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A new significant area: emotion detection in e-learning using opinion mining techniques

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Open access
Authors
Binali, Haji
Wu, Chen
Potdar, Vidyasagar
Date
2009
Type
Conference Paper

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Citation
Binali, Haji and Wu, Chen and Potdar, Vidyasagar. 2009. A new significant area: emotion detection in e-learning using opinion mining techniques, in Okyay Kaynak and Mukesh Mohania (ed), International Conference on Digital Ecosystems and Technology (DEST 2009), Jun 1 2009, pp. 259-264. Istanbul, Turkey: IEEE.
Source Title
Proceedings of the international conference on digital ecosystems and technologies (DEST 2009)
Source Conference
International Conference on Digital Ecosystems and Technology (DEST 2009)
DOI
ISBN
Faculty
Curtin Business School
The Digital Ecosystems and Business Intelligence Institute (DEBII)
School
Centre for Extended Enterprises and Business Intelligence
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Abstract

E-learning has sprung up much interest in corporations, educational institutions and individuals alike. Recently, it has been discovered that emotion can affect the elearning experience. However, understanding the emotional reaction of a student in a complicated learning environment is a mind boggling task. By detecting intense emotional experiences being exhibited by students, we intend to detect fluctuations in emotion as learning progresses. To achieve this, we present a conceptual emotion detection and analysis system for e-learning using opinion mining techniques.