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dc.contributor.authorBinali, Haji
dc.contributor.authorPotdar, Vidyasagar
dc.contributor.authorWu, Chen
dc.contributor.editorYousef Ibrahim
dc.date.accessioned2017-01-30T14:53:36Z
dc.date.available2017-01-30T14:53:36Z
dc.date.created2010-02-04T20:02:17Z
dc.date.issued2009
dc.identifier.citationBinali, Haji and Potdar, Vidyasagar and Wu, Chen. 2009. A state of the art opinion mining and its application domains, in Yousef Ibrahim (ed), International Conference on Industrial Technology (ICIT 2009), Feb 10 2009, pp. 1-6. Victoria, Australia: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/41616
dc.description.abstract

This paper critically evaluates existing work, presents an opinion mining framework and exposes new areas of research in opinion mining. Individuals, businesses and government can now easily know the general opinion prevailing on a product, company or public policy. At the core of this field is semantic orientation of subjective terms in documents or reviews which seeks to establish their contextual connotation through opinion mining. Overall item sentiment can be expressed based on its sentiment words in general or by specifically identifying its features and the opinions being expressed about them. This leads us to the motivation of the framework for opinion mining and categorizing current literature in such a manner as to make clear, research opportunities. The freedom offered by the web as a platform for presenting opinions on any subject brings with it many new opportunities.

dc.publisherIEEE Computer Society
dc.relation.urihttp://portal.acm.org/citation.cfm?id=1586179
dc.subjectdata mining
dc.subjectunsupervised learning
dc.subjectsupervised learning
dc.subjectOpinion mining
dc.titleA state of the art opinion mining and its application domains
dc.typeConference Paper
dcterms.source.startPage1
dcterms.source.endPage6
dcterms.source.titleProceedings of the international conference on industrial technology (ICIT 2009)
dcterms.source.seriesProceedings of the international conference on industrial technology (ICIT 2009)
dcterms.source.isbn9781424435067
dcterms.source.conferenceInternational Conference on Industrial Technology (ICIT 2009)
dcterms.source.conference-start-dateFeb 10 2009
dcterms.source.conferencelocationVictoria, Australia
dcterms.source.placeAustralia
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 Centre for Extended Enterprises and Business Intelligence (CEEBI)


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