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A Modified Metaheuristic Algorithm for Opinion Mining

by K. Saraswathi, A. Tamilarasi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 11
Year of Publication: 2012
Authors: K. Saraswathi, A. Tamilarasi
10.5120/9329-3634

K. Saraswathi, A. Tamilarasi . A Modified Metaheuristic Algorithm for Opinion Mining. International Journal of Computer Applications. 58, 11 ( November 2012), 43-47. DOI=10.5120/9329-3634

@article{ 10.5120/9329-3634,
author = { K. Saraswathi, A. Tamilarasi },
title = { A Modified Metaheuristic Algorithm for Opinion Mining },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 11 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 43-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number11/9329-3634/ },
doi = { 10.5120/9329-3634 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:02:13.749825+05:30
%A K. Saraswathi
%A A. Tamilarasi
%T A Modified Metaheuristic Algorithm for Opinion Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 11
%P 43-47
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Opinion mining is a recent discipline combining Information Retrieval and Computational Linguistics which is concerned with the opinion a document expresses and not just with the topic in the document. Online forums, newsgroups, blogs, and specialized sites provide voluminous information feeds from where opinions can be retrieved. Opinion's polarity is established through application of machine learning techniques for classification of textual reviews as either a positive or negative class. In this paper, it is proposed to extract the feature set from reviews using Inverse document frequency and the reviews are classified as positive or negative using Bagging algorithms. The proposed method is evaluated using a subset of Internet Movie Database (IMBd).

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Index Terms

Computer Science
Information Sciences

Keywords

Opinion mining Sentiment analysis Movie reviews Naive Bayes CART Bagging

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