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Research Article

Recognizing and Grade Product Aspects based on Consumer reviews

Open Access Peer Reviewed

Authors

  • VIDHATE ASHOK DNYANDEV1
  • PHULE SAGAR NARAYAN2

12 Asst Prof, Dept. of CSEVIVA INSTITUTE OF TECHNOLOGY, Maharashtra, India.

Article Information

DOI
No DOI
Published Online
September-October 2021
Pages
12-14
Article Type
Research Article
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No DOI available for cross-reference

References

[1] T.L.WongandW.Lam,“Hotitemminingandsummarizationfrommultipleauctionwebsites,”inProc.5thIEEEICDM,Washington,DC,USA,
2005,pp.797–800.
[2] M.HuandB.Liu,“Miningandsummarizingcustomerreviews,”inProc.SIGKDD,Seattle,WA, USA,2004,pp. 168–177.
[3] A.M.Popescu
andO.Etzioni,“Extractingproductfeaturesandopinionsfromreviews,”inProc.HLT/EMNLP,Vancouver,BC,Canada,2005,pp.339–346.
[4] Q.Mei,X.Ling,M.Wondra,H.Su,andC.X.Zhai,“Topicsentimentmixture:Modelingfacetsandopinionsinweblogs,”inProc.16thInt.Conf.W
WW,Banff,AB,Canada,2007,pp.171–180.
[5] Q.Suetal.,“Hiddensentimentassociationinchinesewebopinionmining,”inProc.17thInt.Conf.WWW,Beijing,China,2008,pp.959–968.
[6] Y.Wu,Q. Zhang, X. Huang,andL.Wu,“Phrasedependencyparsingforopinionmining,”inProc.ACL, Singapore,2009,pp.1533–1541.
[7] X.Ding,B.Liu,andP.S.Yu,“Aholisticlexicon-basedapproachtoopinionmining,”inProc.WSDM,NewYork,NY,USA,2008,231–240.
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