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Authors: Tatiana Gasanova 1 ; Roman Sergienko 1 ; Eugene Semenkin 2 and Wolfgang Minker 1

Affiliations: 1 Ulm University, Germany ; 2 Siberian State Aerospace University, Russian Federation

Keyword(s): Text Classification, Coevolutionary Algorithm, Text Preprocessing, Clustering, Dimension Reduction.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computation and Control ; Evolutionary Computing ; Genetic Algorithms ; Hybrid Learning Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Machine Learning in Control Applications ; Optimization Algorithms ; Soft Computing

Abstract: Text classification of large-size corpora is time-consuming for implementation of classification algorithms. For this reason, it is important to reduce dimension of text classification problems. We propose a method for dimension reduction based on hierarchical agglomerative clustering of terms and cluster weight optimization using cooperative coevolutionary genetic algorithm. The method was applied on 5 different corpora using several classification methods with different text preprocessing. The method reduces dimension of text classification problem significantly. Classification efficiency increases or decreases non-significantly after clustering with optimization of cluster weights.

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Paper citation in several formats:
Gasanova, T.; Sergienko, R.; Semenkin, E. and Minker, W. (2014). Dimension Reduction with Coevolutionary Genetic Algorithm for Text Classification. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-039-0; ISSN 2184-2809, SciTePress, pages 215-222. DOI: 10.5220/0005020702150222

@conference{icinco14,
author={Tatiana Gasanova. and Roman Sergienko. and Eugene Semenkin. and Wolfgang Minker.},
title={Dimension Reduction with Coevolutionary Genetic Algorithm for Text Classification},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2014},
pages={215-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005020702150222},
isbn={978-989-758-039-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Dimension Reduction with Coevolutionary Genetic Algorithm for Text Classification
SN - 978-989-758-039-0
IS - 2184-2809
AU - Gasanova, T.
AU - Sergienko, R.
AU - Semenkin, E.
AU - Minker, W.
PY - 2014
SP - 215
EP - 222
DO - 10.5220/0005020702150222
PB - SciTePress

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