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Customer Opinion from various E-commerce sitesusing Data Mining techniques: A Survey

PinkySaikiaDutta*1 1 , AvishekSaha 2 , AmarendraSharma 3 , AbhishekSarmah 4 , JugalKishorTalukdar 5

Section:Survey Paper, Product Type: Journal Paper
Volume-04 , Issue-07 , Page no. 58-61, Dec-2016

Online published on Dec 09, 2016

Copyright © PinkySaikiaDutta*1, AvishekSaha, AmarendraSharma, AbhishekSarmah, JugalKishorTalukdar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: PinkySaikiaDutta*1, AvishekSaha, AmarendraSharma, AbhishekSarmah, JugalKishorTalukdar, “Customer Opinion from various E-commerce sitesusing Data Mining techniques: A Survey,” International Journal of Computer Sciences and Engineering, Vol.04, Issue.07, pp.58-61, 2016.

MLA Style Citation: PinkySaikiaDutta*1, AvishekSaha, AmarendraSharma, AbhishekSarmah, JugalKishorTalukdar "Customer Opinion from various E-commerce sitesusing Data Mining techniques: A Survey." International Journal of Computer Sciences and Engineering 04.07 (2016): 58-61.

APA Style Citation: PinkySaikiaDutta*1, AvishekSaha, AmarendraSharma, AbhishekSarmah, JugalKishorTalukdar, (2016). Customer Opinion from various E-commerce sitesusing Data Mining techniques: A Survey. International Journal of Computer Sciences and Engineering, 04(07), 58-61.

BibTex Style Citation:
@article{_2016,
author = {PinkySaikiaDutta*1, AvishekSaha, AmarendraSharma, AbhishekSarmah, JugalKishorTalukdar},
title = {Customer Opinion from various E-commerce sitesusing Data Mining techniques: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2016},
volume = {04},
Issue = {07},
month = {12},
year = {2016},
issn = {2347-2693},
pages = {58-61},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=154},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=154
TI - Customer Opinion from various E-commerce sitesusing Data Mining techniques: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - PinkySaikiaDutta*1, AvishekSaha, AmarendraSharma, AbhishekSarmah, JugalKishorTalukdar
PY - 2016
DA - 2016/12/09
PB - IJCSE, Indore, INDIA
SP - 58-61
IS - 07
VL - 04
SN - 2347-2693
ER -

           

Abstract

With the availability of huge number of products, it became quite difficult for a customer to judge the quality about the product. Publicly available opinions are very important for decision making process. With the increasing number of reviews and comments for a particular product it became difficult to get an optimized opinion for that product. In this paper, we will study various reviews and the quality of the reviews from a huge number of positive and negative opinions on the product. All the reviews will be analysed on the basis of sentiment and will give a final opinion on the product. It will help every buyer to take a quick decision and gain a precise opinion for the products.

Key-Words / Index Term

Optimized opinion; Quality; Sentiment

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