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Reseach Article

Using Bio-inspired intelligence for Web opinion Mining

by George Stylios, Christos D. Katsis, Dimitris Christodoulakis
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 5
Year of Publication: 2014
Authors: George Stylios, Christos D. Katsis, Dimitris Christodoulakis
10.5120/15207-3610

George Stylios, Christos D. Katsis, Dimitris Christodoulakis . Using Bio-inspired intelligence for Web opinion Mining. International Journal of Computer Applications. 87, 5 ( February 2014), 36-43. DOI=10.5120/15207-3610

@article{ 10.5120/15207-3610,
author = { George Stylios, Christos D. Katsis, Dimitris Christodoulakis },
title = { Using Bio-inspired intelligence for Web opinion Mining },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 5 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 36-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number5/15207-3610/ },
doi = { 10.5120/15207-3610 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:05:09.500233+05:30
%A George Stylios
%A Christos D. Katsis
%A Dimitris Christodoulakis
%T Using Bio-inspired intelligence for Web opinion Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 5
%P 36-43
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This work proposes a bio-inspired based methodology in order to extract and evaluate user's web texts / posts. To validate the methodology, a dataset is constructed using real data arising from Greek fora. The obtained results are compared with a commonly used machine learning technique (decision trees- C4. 5 algorithm). The bio-inspired algorithm (namely the hybrid PSO/ACO2 algorithm) achieved average classification accuracy 90. 59% in a 10 fold cross validation experiment, outperforming the C4. 5 algorithm (83. 66%). The proposed methodology could be easily integrated with a decision support system providing services in the fields of e-commerce or e-government in order to help merchants acquire customer satisfaction or public administrators capture common understanding.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence Bio-inspired Algorithms Decision Trees PSO/ACO2 Web texts Web Opinion Mining