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A Survey on Sentiment Analysis of (Product) Reviews

by A. Nisha Jebaseeli, E. Kirubakaran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 11
Year of Publication: 2012
Authors: A. Nisha Jebaseeli, E. Kirubakaran
10.5120/7234-0242

A. Nisha Jebaseeli, E. Kirubakaran . A Survey on Sentiment Analysis of (Product) Reviews. International Journal of Computer Applications. 47, 11 ( June 2012), 36-39. DOI=10.5120/7234-0242

@article{ 10.5120/7234-0242,
author = { A. Nisha Jebaseeli, E. Kirubakaran },
title = { A Survey on Sentiment Analysis of (Product) Reviews },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 11 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number11/7234-0242/ },
doi = { 10.5120/7234-0242 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:37.104105+05:30
%A A. Nisha Jebaseeli
%A E. Kirubakaran
%T A Survey on Sentiment Analysis of (Product) Reviews
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 11
%P 36-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the help of wireless technology, the internet becomes a valuable place for online learning, exchanging ideas, reviews for a product or service. Reviews in the internet could be in millions for a product or services which make it difficult to track and understand customer opinions. Sentiment analysis is an emerging area of research to extract the subjective information in source materials by applying Natural Language processing, Computational Linguistics and text analytics and classify the polarity of the opinion stated. This paper provides an overall survey about sentiment analysis or opinion mining related to product reviews.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Opinion Mining Product Reviews Sentiment Analysis

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