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A Review On: Opinion Mining and Sentiment Analysis based on Natural Language Processing

by Swati N. Manke, Nitin Shivale
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 4
Year of Publication: 2015
Authors: Swati N. Manke, Nitin Shivale
10.5120/19179-0653

Swati N. Manke, Nitin Shivale . A Review On: Opinion Mining and Sentiment Analysis based on Natural Language Processing. International Journal of Computer Applications. 109, 4 ( January 2015), 29-32. DOI=10.5120/19179-0653

@article{ 10.5120/19179-0653,
author = { Swati N. Manke, Nitin Shivale },
title = { A Review On: Opinion Mining and Sentiment Analysis based on Natural Language Processing },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 4 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number4/19179-0653/ },
doi = { 10.5120/19179-0653 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:43:54.908525+05:30
%A Swati N. Manke
%A Nitin Shivale
%T A Review On: Opinion Mining and Sentiment Analysis based on Natural Language Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 4
%P 29-32
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In marketing and advertising domains Opinion Mining is being larger domain. Advertiser needs to analyze performance/ popularity of ads that he/she posted on site. Star rating based mechanism may go fraud, because of robots or automatic responders. So, current system needs to be analyzed using comments & natural language processing. Fraud comments could be removed by using irrelevant comment removal mechanism suggested in paper. In this paper the role and importance of social networks as preferred environments for opinion mining and sentiment analysis are discussed especially. In this paper, selected properties of social networks that are relevant with respect to opinion mining are briefly described and outline the general relationships between the two disciplines. It presents the related work and provide basic definitions used in opinion mining area. Then, the original method of opinion classification is introduce and test the presented algorithm on real world datasets acquired from popular Polish social networks, reporting on the results. The results are outperform and soundly support the main issue of the paper, that social networks exhibit properties that make them very suitable for opinion mining activities.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Opinion Sentiment Domain-dependent corpus Domain-independent corpus Relevance.

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