Identification of related multilingual documents using ant clustering algorithms

This paper presents a document representation strategy and a bio-inspired algorithm to cluster multilingual collections of documents in the field of economics and business. The proposed approach allows the user to identify groups of related economics documents written in Spanish and English using te...

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Autores principales:	Cobo,Ángel, Rocha,Rocío
Lenguaje:	English
Publicado:	Universidad de Tarapacá. 2011
Materias:	Clustering ant-based algorithms multilingual documents text mining document management
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052011000300005
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spelling	oai:scielo:S0718-330520110003000052012-03-14Identification of related multilingual documents using ant clustering algorithmsCobo,ÁngelRocha,Rocío Clustering ant-based algorithms multilingual documents text mining document management This paper presents a document representation strategy and a bio-inspired algorithm to cluster multilingual collections of documents in the field of economics and business. The proposed approach allows the user to identify groups of related economics documents written in Spanish and English using techniques inspired on clustering and sorting behaviours observed in some types of ants. In order to obtain a language independent vector representation of each document two multilingual resources are used: an economic glossary and a thesaurus. Each document is represented using four feature vectors: words, proper names, economic terms in the glossary and thesaurus descriptors. The proper name identification, word extraction and lemmatization are performed using specific tools. The tf-idf scheme is used to measure the importance of each feature in the document, and a convex linear combination of angular separations between feature vectors is used as similarity measure of documents. The paper shows experimental results of the application of the proposed algorithm in a Spanish-English corpus of research papers in economics and management areas. The results demonstrate the usefulness and effectiveness of the ant clustering algorithm and the proposed representation scheme.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.19 n.3 20112011-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052011000300005en10.4067/S0718-33052011000300005
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Clustering ant-based algorithms multilingual documents text mining document management
spellingShingle	Clustering ant-based algorithms multilingual documents text mining document management Cobo,Ángel Rocha,Rocío Identification of related multilingual documents using ant clustering algorithms
description	This paper presents a document representation strategy and a bio-inspired algorithm to cluster multilingual collections of documents in the field of economics and business. The proposed approach allows the user to identify groups of related economics documents written in Spanish and English using techniques inspired on clustering and sorting behaviours observed in some types of ants. In order to obtain a language independent vector representation of each document two multilingual resources are used: an economic glossary and a thesaurus. Each document is represented using four feature vectors: words, proper names, economic terms in the glossary and thesaurus descriptors. The proper name identification, word extraction and lemmatization are performed using specific tools. The tf-idf scheme is used to measure the importance of each feature in the document, and a convex linear combination of angular separations between feature vectors is used as similarity measure of documents. The paper shows experimental results of the application of the proposed algorithm in a Spanish-English corpus of research papers in economics and management areas. The results demonstrate the usefulness and effectiveness of the ant clustering algorithm and the proposed representation scheme.
author	Cobo,Ángel Rocha,Rocío
author_facet	Cobo,Ángel Rocha,Rocío
author_sort	Cobo,Ángel
title	Identification of related multilingual documents using ant clustering algorithms
title_short	Identification of related multilingual documents using ant clustering algorithms
title_full	Identification of related multilingual documents using ant clustering algorithms
title_fullStr	Identification of related multilingual documents using ant clustering algorithms
title_full_unstemmed	Identification of related multilingual documents using ant clustering algorithms
title_sort	identification of related multilingual documents using ant clustering algorithms
publisher	Universidad de Tarapacá.
publishDate	2011
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052011000300005
work_keys_str_mv	AT coboangel identificationofrelatedmultilingualdocumentsusingantclusteringalgorithms AT rocharocio identificationofrelatedmultilingualdocumentsusingantclusteringalgorithms
_version_	1714203393071775744

Identification of related multilingual documents using ant clustering algorithms

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