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A Survey on Sentiment Analysis

by Preeti Routray, Chinmaya Kumar Swain, Smita Praya Mishra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Number 10
Year of Publication: 2013
Authors: Preeti Routray, Chinmaya Kumar Swain, Smita Praya Mishra
10.5120/13280-0527

Preeti Routray, Chinmaya Kumar Swain, Smita Praya Mishra . A Survey on Sentiment Analysis. International Journal of Computer Applications. 76, 10 ( August 2013), 1-8. DOI=10.5120/13280-0527

@article{ 10.5120/13280-0527,
author = { Preeti Routray, Chinmaya Kumar Swain, Smita Praya Mishra },
title = { A Survey on Sentiment Analysis },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 76 },
number = { 10 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume76/number10/13280-0527/ },
doi = { 10.5120/13280-0527 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:45:31.020024+05:30
%A Preeti Routray
%A Chinmaya Kumar Swain
%A Smita Praya Mishra
%T A Survey on Sentiment Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 76
%N 10
%P 1-8
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The explosive growth of the textual information on the web in the past few decades has brought radical change in human life. In the web, people share their opinions and views (sentiments) in many forms about products or services they are aware of. This creates a large collection of opinions and views in the form of texts, which needs to be analysed to know the efficacy of the product or service. Opinions are usually subjective expressions that describe person's sentiment, feelings towards the object or service. The sentiment can be positive or negative. This survey is a summary of the work on sentiment analysis, covering the new challenges which appear in sentiment analysis as compared to traditional fact based analysis. Currently there are four research challenges for sentiment analysis. Those are subjectivity classification, word sentiment classification, document sentiment classification and opinion extraction. This survey discusses related issues of sentiment analysis and main approaches to those problems.

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Index Terms

Computer Science
Information Sciences

Keywords

Sentiment Analysis Machine Learning Sentiment Classification WordNet Support Vector Machine Naive Bayes Maximum Entropy Language Model

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