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Reseach Article

Review of Classifiers for Automated Opinion Mining

by Shina, Navpreet Rupal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 5
Year of Publication: 2014
Authors: Shina, Navpreet Rupal
10.5120/17001-7146

Shina, Navpreet Rupal . Review of Classifiers for Automated Opinion Mining. International Journal of Computer Applications. 97, 5 ( July 2014), 5-8. DOI=10.5120/17001-7146

@article{ 10.5120/17001-7146,
author = { Shina, Navpreet Rupal },
title = { Review of Classifiers for Automated Opinion Mining },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 5 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number5/17001-7146/ },
doi = { 10.5120/17001-7146 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:17.454974+05:30
%A Shina
%A Navpreet Rupal
%T Review of Classifiers for Automated Opinion Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 5
%P 5-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Opinion Mining has been a field of great interest and use as it helps the producers to know about the reviews of the product so as to enhance their sales. At the same time it helps the consumers as well to judge which product suits their requirements and whether the overall feedback from other consumers who have used it is positive or negative. This research proposes a system which aims to help the customers deal with bulk of reviews in an easier manner. The research also comprehends the optimum classifier to judge the contextual polarity of the review.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Opinion Mining classifier contextual polarity