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Reseach Article

Analysis of Various Sentiment Classification Techniques

by Vimalkumar B. Vaghela, Bhumika M. Jadav
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 140 - Number 3
Year of Publication: 2016
Authors: Vimalkumar B. Vaghela, Bhumika M. Jadav
10.5120/ijca2016909259

Vimalkumar B. Vaghela, Bhumika M. Jadav . Analysis of Various Sentiment Classification Techniques. International Journal of Computer Applications. 140, 3 ( April 2016), 22-27. DOI=10.5120/ijca2016909259

@article{ 10.5120/ijca2016909259,
author = { Vimalkumar B. Vaghela, Bhumika M. Jadav },
title = { Analysis of Various Sentiment Classification Techniques },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 140 },
number = { 3 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume140/number3/24574-2016909259/ },
doi = { 10.5120/ijca2016909259 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:41:18.609300+05:30
%A Vimalkumar B. Vaghela
%A Bhumika M. Jadav
%T Analysis of Various Sentiment Classification Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 140
%N 3
%P 22-27
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sentiment analysis is an ongoing research area in the field of text mining. People post their review in form of unstructured data so opinion extraction provides overall opinion of reviews so it does best job for customer, people, organization etc. The main aim of this paper is to find out approaches that generate output with good accuracy. This paper presents recent updates on papers related to classification of sentiment analysis of implemented various approaches and algorithms. The main contribution of this paper is to give idea about that careful feature selection and existing classification approaches can give better accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Sentiment analysis Text mining Classification Feature selection