Review of Feature Selection and Optimization Strategies in Opinion Mining

Review of Feature Selection and Optimization Strategies in Opinion Mining

K.Venkata Rama Rao

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Review of Feature Selection and Optimization Strategies in Opinion Mining

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Abstract

Opinion mining and sentiment analysis methods has become a prerogative models in terms of gaining insights from the huge volume of data that is being generated from vivid sources. There are vivid range of data that is being generated from varied sources. If such veracity and variety of data can be explored in terms of evaluating the opinion mining process, it could help the target groups in getting the public pulse which could support them in taking informed decisions. Though the process of opinion mining and sentiment analysis has been one of the hot topics focused upon by the researchers, the process has not been completely revolutionary. In this study the focus has been upon reviewing varied range of models and solutions that are proposed for sentiment analysis and opinion mining.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

K.Venkata Rama Rao. 2017. \u201cReview of Feature Selection and Optimization Strategies in Opinion Mining\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 16 (GJCST Volume 16 Issue C5): .

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GJCST Volume 16 Issue C5
Pg. 21- 28

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

C.2.1,C.2.4, H.2.8

Submission ReceivedDecember 8, 2015
Peer Review Double Blind
Handling Editor
Accepted January 2, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

January 27, 2017

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: K.Venkata Rama Rao (PhD/Dr. count: 0)

View Count (all-time): 288

Total Views (Real + Logic): 6970

Total Downloads (simulated): 1777

Publish Date: 2017 01, Fri

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Total Views: 6970

Total Downloads: 1777

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