Improving term extraction using particle swarm optimization techniques
Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatically. The purpose of this process is to generate list of terms that are relevant to the domain of the input document. In the literature there...
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Online Access: | http://eprints.utm.my/id/eprint/26213/1/MohammadSyafrullah2010_ImprovingTermExtractionUsingParticle.pdf http://eprints.utm.my/id/eprint/26213/ http://dx.doi.org/10.3844/jcssp.2010.323.329 |
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my.utm.262132018-10-31T12:20:28Z http://eprints.utm.my/id/eprint/26213/ Improving term extraction using particle swarm optimization techniques Salim, Naomie M., Syafrullah QA75 Electronic computers. Computer science Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatically. The purpose of this process is to generate list of terms that are relevant to the domain of the input document. In the literature there are many approaches, techniques and algorithms used for term extraction. In this paper we propose a new approach using particle swarm optimization techniques in order to improve the accuracy of term extraction results. We choose five features to represent the term score. The approach has been applied to the domain of religious document. We compare our term extraction method precision with TFIDF, Weirdness, GlossaryExtraction and TermExtractor. The experimental results show that our propose approach achieve better precision than those four algorithm. Science Publications 2010 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/26213/1/MohammadSyafrullah2010_ImprovingTermExtractionUsingParticle.pdf Salim, Naomie and M., Syafrullah (2010) Improving term extraction using particle swarm optimization techniques. Journal of Computer Science, 6 (3). 323 - 329. ISSN 1549-3636 http://dx.doi.org/10.3844/jcssp.2010.323.329 DOI:10.3844/jcssp.2010.323.329 |
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QA75 Electronic computers. Computer science Salim, Naomie M., Syafrullah Improving term extraction using particle swarm optimization techniques |
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Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatically. The purpose of this process is to generate list of terms that are relevant to the domain of the input document. In the literature there are many approaches, techniques and algorithms used for term extraction. In this paper we propose a new approach using particle swarm optimization techniques in order to improve the accuracy of term extraction results. We choose five features to represent the term score. The approach has been applied to the domain of religious document. We compare our term extraction method precision with TFIDF, Weirdness, GlossaryExtraction and TermExtractor. The experimental results show that our propose approach achieve better precision than those four algorithm. |
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Article |
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Salim, Naomie M., Syafrullah |
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Salim, Naomie M., Syafrullah |
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Salim, Naomie |
title |
Improving term extraction using particle swarm optimization techniques |
title_short |
Improving term extraction using particle swarm optimization techniques |
title_full |
Improving term extraction using particle swarm optimization techniques |
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Improving term extraction using particle swarm optimization techniques |
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Improving term extraction using particle swarm optimization techniques |
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improving term extraction using particle swarm optimization techniques |
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Science Publications |
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2010 |
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http://eprints.utm.my/id/eprint/26213/1/MohammadSyafrullah2010_ImprovingTermExtractionUsingParticle.pdf http://eprints.utm.my/id/eprint/26213/ http://dx.doi.org/10.3844/jcssp.2010.323.329 |
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