A semantic classification approach for online product reviews

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dc.contributor.author Wang, C
dc.contributor.author Lu, J
dc.contributor.author Zhang, G
dc.date.accessioned 2009-11-09T05:36:01Z
dc.date.issued 2005
dc.identifier.citation Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005, 2005, 2005 pp. 276 - 279
dc.identifier.isbn 076952415X
dc.identifier.isbn 9780769524153
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2618
dc.description.abstract With the fast growth of e-commerce, product reviews on the Web have become an important information source for customers' decision making when they plan to buy products online. As the reviews are often too many for customers to go through, how to automatically classify them into different semantic orientations (i.e. recommend/not recommend) has become a research problem. Different from traditional approaches that treat a review as a whole, our approach performs semantic classifications at the sentence level by realizing reviews often contain mixed feelings or opinions. In this approach, a typical feature selection method based on sentence tagging is employed and a naïve bayes classifier is used to create a base classification model, which is then combined with certain heuristic rules for review sentence classification. Experiments show that this approach achieves better results than using general naïve bayes classifiers. © 2005 IEEE.
dc.relation.isbasedon 10.1109/WI.2005.12
dc.title A semantic classification approach for online product reviews
dc.type Conference Proceeding
dc.parent Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
dc.journal.volume 2005
dc.journal.number en_US
dc.publocation California USA en_US
dc.publocation Sydney, Australia
dc.identifier.startpage 276 en_US
dc.identifier.endpage 279 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.conference Earthbuild
dc.conference IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology
dc.conference.location France en_US
dc.for 080105 Expert Systems
dc.personcode 001038
dc.personcode 020014
dc.personcode 10205817
dc.percentage 100 en_US
dc.classification.name Expert Systems en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology en_US
dc.date.activity 20050919 en_US
dc.date.activity 2005-01-19
dc.date.activity 2005-09-19
dc.location.activity France en_US
dc.location.activity Sydney, Australia
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history Closed (ID: 3)


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