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A Review Study of Co-Extracting Opinion Targets and Opinion Words from Online Reviews

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Saru, Mamta Bhusry, Himani Singh
10.5120/ijca2016911495

Saru, Mamta Bhusry and Himani Singh. A Review Study of Co-Extracting Opinion Targets and Opinion Words from Online Reviews. International Journal of Computer Applications 150(5):1-4, September 2016. BibTeX

@article{10.5120/ijca2016911495,
	author = {Saru and Mamta Bhusry and Himani Singh},
	title = {A Review Study of Co-Extracting Opinion Targets and Opinion Words from Online Reviews},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2016},
	volume = {150},
	number = {5},
	month = {Sep},
	year = {2016},
	issn = {0975-8887},
	pages = {1-4},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume150/number5/26086-2016911495},
	doi = {10.5120/ijca2016911495},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

With the rapid development of e-trade, more items are sold on the Web, thus numerous individuals are additionally acquiring items on the web. With a specific end goal to upgrade consumer loyalty and shopping background, it has turned into a typical training for online shippers to empower their clients to survey or to express reviews on the items that they have bought. With considerable number of normal clients receiving to be good with the Web furthermore an expanding number of clients are composing reviews. In this research work we exhibit survey investigation of the existing co-separating algorithms is utilized to concentrate opinion targets and sentiment words. This paper also displays an investigation of existing co-extracting algorithm and models are utilized to concentrate opinion targets and opinion words

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Keywords

Co-extracting algorithm, opinion targets, opinion words, e-commerce and co-extracting model