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Reseach Article

A Survey on Reputation System based on Extraction of Opinion Target and Words from Reviews

Published on May 2016 by Nikita Khose, V.v. Dakhode
National Conference on Advancements in Computer & Information Technology
Foundation of Computer Science USA
NCACIT2016 - Number 2
May 2016
Authors: Nikita Khose, V.v. Dakhode
61486825-8290-4eae-8617-f3db22d8ac1d

Nikita Khose, V.v. Dakhode . A Survey on Reputation System based on Extraction of Opinion Target and Words from Reviews. National Conference on Advancements in Computer & Information Technology. NCACIT2016, 2 (May 2016), 13-15.

@article{
author = { Nikita Khose, V.v. Dakhode },
title = { A Survey on Reputation System based on Extraction of Opinion Target and Words from Reviews },
journal = { National Conference on Advancements in Computer & Information Technology },
issue_date = { May 2016 },
volume = { NCACIT2016 },
number = { 2 },
month = { May },
year = { 2016 },
issn = 0975-8887,
pages = { 13-15 },
numpages = 3,
url = { /proceedings/ncacit2016/number2/24705-3041/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancements in Computer & Information Technology
%A Nikita Khose
%A V.v. Dakhode
%T A Survey on Reputation System based on Extraction of Opinion Target and Words from Reviews
%J National Conference on Advancements in Computer & Information Technology
%@ 0975-8887
%V NCACIT2016
%N 2
%P 13-15
%D 2016
%I International Journal of Computer Applications
Abstract

As the increasing use of web, number of users expressing their views about particular product, news, individual or organization also increased. Users tend to write reviews when it make a purchase on web. These reviews are extremely helpful for both, the other users who are intending to make a purchase and the related company to who wants to get feedback and suggestion about the product. User reviews contains information about product features, user expression and sentiments of users regarding the product. As huge number of reviews and dimensionality is present in these reviews, it may create conflict in purchase decision. Thus, more improved technique to catch user's precise sentiments towards the product is evolved i. e. opinion mining which comprises opinion target and opinion words extraction. Many methods have evolved for opinion mining and extraction.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Opinion Mining Opinion Target Opinion Word Reputation System