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Survey on Sentiment Analysis and its Classification Technique

Published on December 2015 by Amit K. Burde, Vikram B. Shevate, Preeti Suryawanshi, Tushar G. Barage, Viresh Chapate
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National Conference on Advances in Computing
Foundation of Computer Science USA
NCAC2015 - Number 5
December 2015
Authors: Amit K. Burde, Vikram B. Shevate, Preeti Suryawanshi, Tushar G. Barage, Viresh Chapate
51fd339b-69d0-408c-8804-3d028aeb9f21

Amit K. Burde, Vikram B. Shevate, Preeti Suryawanshi, Tushar G. Barage, Viresh Chapate . Survey on Sentiment Analysis and its Classification Technique. National Conference on Advances in Computing. NCAC2015, 5 (December 2015), 21-26.

@article{
author = { Amit K. Burde, Vikram B. Shevate, Preeti Suryawanshi, Tushar G. Barage, Viresh Chapate },
title = { Survey on Sentiment Analysis and its Classification Technique },
journal = { National Conference on Advances in Computing },
issue_date = { December 2015 },
volume = { NCAC2015 },
number = { 5 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 21-26 },
numpages = 6,
url = { /proceedings/ncac2015/number5/23389-5056/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing
%A Amit K. Burde
%A Vikram B. Shevate
%A Preeti Suryawanshi
%A Tushar G. Barage
%A Viresh Chapate
%T Survey on Sentiment Analysis and its Classification Technique
%J National Conference on Advances in Computing
%@ 0975-8887
%V NCAC2015
%N 5
%P 21-26
%D 2015
%I International Journal of Computer Applications
Abstract

In today's world everyone is trying different product and services. They are always commenting on such things on microblogging sites like Twitter and Facebook. Sentiment analysis also known as opinion mining used for finding the polarity of people's opinion,thoughts, reviews or evaluations posted on the internet. Now these opinions differ from person to person but they either have positive, negative or neutral characteristics. Field of sentiment analysis is gaining importance and is used in many fields. So finding proper attitude of one's opinion is very important. Different algorithms are used in sentiment analysis based on the inputs that have been taken. Proper understanding of sentiment analysis and its algorithm will make it possible to analyze the opinion and produce the accurate result of them in terms of positivity and negativity

References
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Index Terms

Computer Science
Information Sciences

Keywords

Sentiment Analysis Sentimentclassification Techniques Text Extraction Naïve Bayes Bayesian Network Random Forest Support Vector Machine Artificial Neural Network.