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dc.contributor.authorBinali, Haji
dc.contributor.authorWu, Chen
dc.contributor.authorPotdar, Vidyasagar
dc.contributor.editorOkyay Kaynak
dc.contributor.editorMukesh Mohania
dc.date.accessioned2017-01-30T13:24:28Z
dc.date.available2017-01-30T13:24:28Z
dc.date.created2010-02-08T20:03:30Z
dc.date.issued2009
dc.identifier.citationBinali, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/31271
dc.identifier.doi10.1109/DEST.2009.5276726
dc.description.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.

dc.publisherIEEE
dc.subjectopinion mining
dc.subjectE-learning
dc.subjectemotion detection
dc.titleA new significant area: emotion detection in e-learning using opinion mining techniques
dc.typeConference Paper
dcterms.source.startPage259
dcterms.source.endPage264
dcterms.source.titleProceedings of the international conference on digital ecosystems and technologies (DEST 2009)
dcterms.source.seriesProceedings of the international conference on digital ecosystems and technologies (DEST 2009)
dcterms.source.isbn9781424423453
dcterms.source.conferenceInternational Conference on Digital Ecosystems and Technology (DEST 2009)
dcterms.source.conference-start-dateJun 1 2009
dcterms.source.conferencelocationIstanbul, Turkey
dcterms.source.placeTurkey
curtin.note

Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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