An Imperialist Competitive Algorithm for Persian Text Segmentation

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Autore principale: Nooshin Shirali
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidade Federal de Santa Maria 2015
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author Nooshin Shirali
author_facet Nooshin Shirali
contents An Imperialist Competitive Algorithm for Persian Text Segmentation Nooshin Shirali Marjan Abdeyazdan Estudios Ambientales Text Segmentation Persian Text Segmentation Natural Language Processing Imperialist Competitive Algorithm ext Segmentation has been used in different natural language processing tasks, such as information retrieval and text summarization. In this pap er a novel Persian text segmentation algorithm is proposed. Our proposed algorithm applies the imperialist competitive algorithm (ICA) to find the optimal topic boundaries. It is the first time that an evolutionary algorithm applies in Persian text segment ation. The experimental results show that proposed algorithm is more accurate than other Persian text segmentation algorithms. 2015 artículo científico 0100-8307 https://www.redalyc.org/articulo.oa?id=467547683032 en http://www.redalyc.org/revista.oa?id=4675 Ciência e Natura application/pdf Universidade Federal de Santa Maria Ciência e Natura (Brasil) Num.6-2 Vol.37
format Artículo científico
id redalyc_467547683032
institution Redalyc
language en
publishDate 2015
publisher Universidade Federal de Santa Maria
spellingShingle An Imperialist Competitive Algorithm for Persian Text Segmentation
Nooshin Shirali
Estudios Ambientales
Text Segmentation
Persian Text Segmentation
Natural Language Processing
Imperialist Competitive Algorithm
An Imperialist Competitive Algorithm for Persian Text Segmentation Nooshin Shirali Marjan Abdeyazdan Estudios Ambientales Text Segmentation Persian Text Segmentation Natural Language Processing Imperialist Competitive Algorithm ext Segmentation has been used in different natural language processing tasks, such as information retrieval and text summarization. In this pap er a novel Persian text segmentation algorithm is proposed. Our proposed algorithm applies the imperialist competitive algorithm (ICA) to find the optimal topic boundaries. It is the first time that an evolutionary algorithm applies in Persian text segment ation. The experimental results show that proposed algorithm is more accurate than other Persian text segmentation algorithms. 2015 artículo científico 0100-8307 https://www.redalyc.org/articulo.oa?id=467547683032 en http://www.redalyc.org/revista.oa?id=4675 Ciência e Natura application/pdf Universidade Federal de Santa Maria Ciência e Natura (Brasil) Num.6-2 Vol.37
title An Imperialist Competitive Algorithm for Persian Text Segmentation
topic Estudios Ambientales
Text Segmentation
Persian Text Segmentation
Natural Language Processing
Imperialist Competitive Algorithm
url https://www.redalyc.org/articulo.oa?id=467547683032