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Classification of Opinion Mining Techniques

by Nidhi Mishra, C. K. Jha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 13
Year of Publication: 2012
Authors: Nidhi Mishra, C. K. Jha
10.5120/8948-3122

Nidhi Mishra, C. K. Jha . Classification of Opinion Mining Techniques. International Journal of Computer Applications. 56, 13 ( October 2012), 1-6. DOI=10.5120/8948-3122

@article{ 10.5120/8948-3122,
author = { Nidhi Mishra, C. K. Jha },
title = { Classification of Opinion Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 13 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number13/8948-3122/ },
doi = { 10.5120/8948-3122 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:58:42.228708+05:30
%A Nidhi Mishra
%A C. K. Jha
%T Classification of Opinion Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 13
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The important part to gather the information is always seems as what the people think. The growing availability of opinion rich resources like online review sites and blogs arises as people can easily seek out and understand the opinions of others. Users express their views and opinions regarding products and services. These opinions are subjective information which represents user's sentiments, feelings or appraisal related to the same. The concept of opinion is very broad. In this paper we focus on the Classification of opinion mining techniques that conveys user's opinion i. e. positive or negative at various levels. The precise method for predicting opinions enable us, to extract sentiments from the web and foretell online customer's preferences, which could prove valuable for marketing research. Much of the research work had been done on the processing of opinions or sentiments recently because opinions are so important that whenever we need to make a decision we want to know others' opinions. This opinion is not only important for a user but is also useful for an organization.

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Index Terms

Computer Science
Information Sciences

Keywords

Opinion Mining Machine learning Sentiments Polarity semantic

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