International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 87 - Issue 5 |
Published: February 2014 |
Authors: George Stylios, Christos D. Katsis, Dimitris Christodoulakis |
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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 }, year = { 2014 }, volume = { 87 }, number = { 5 }, pages = { 36-43 }, doi = { 10.5120/15207-3610 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A George Stylios %A Christos D. Katsis %A Dimitris Christodoulakis %T Using Bio-inspired intelligence for Web opinion Mining%T %J International Journal of Computer Applications %V 87 %N 5 %P 36-43 %R 10.5120/15207-3610 %I Foundation of Computer Science (FCS), NY, USA
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.