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Reseach Article

A Review on Different Opinion and Aspect Mining Techniques

by Devi Venugopal, Remya R.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 133 - Number 15
Year of Publication: 2016
Authors: Devi Venugopal, Remya R.
10.5120/ijca2016908127

Devi Venugopal, Remya R. . A Review on Different Opinion and Aspect Mining Techniques. International Journal of Computer Applications. 133, 15 ( January 2016), 1-4. DOI=10.5120/ijca2016908127

@article{ 10.5120/ijca2016908127,
author = { Devi Venugopal, Remya R. },
title = { A Review on Different Opinion and Aspect Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 133 },
number = { 15 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume133/number15/23859-2016908127/ },
doi = { 10.5120/ijca2016908127 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:31:32.970955+05:30
%A Devi Venugopal
%A Remya R.
%T A Review on Different Opinion and Aspect Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 133
%N 15
%P 1-4
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the rising popularity of internet, online drug reviews have been proved to be extremely helpful for patients suffering from chronic diseases. Most of the patients search upon online reviews before taking any medicine. Online reviews, blogs, and discussion forums such as WebMD on chronic diseases and medicines are becoming important supporting resources for patients. Extracting useful information from these reviews is very difficult and challenging. Opinion mining or aspect mining involves the extraction of useful information (e.g. positive or negative sentiments of a product) from a large quantity of text opinions or reviews given by Internet users. Various algorithms had been proposed to extract information from the opinion of web users. Some of the algorithms are LDA, sLDA, NMF, SSNMF, DiscLDA and PAAM. A detailed review of the most important opinion mining algorithms is presented and a comparison among the discussed techniques is given.

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Index Terms

Computer Science
Information Sciences

Keywords

Aspect Mining Drug Reviews Opinion Mining Text Mining Topic Modeling