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Text Summarization Based On Classification Using ANFIS

The information overload faced by today’s society has created a big challenge for people who want to look for relevant information from the internet.There are a lot of online documents available and digesting such large texts collection is not an easy task. Hence, automatic text summarization is req...

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Main Authors: Jaya Kumar, Yogan, Fong , Jia Kang, Ong , Sing Goh, Khan, Atif
Format: Book Section
Language:English
Published: Springer 2017
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utem.edu.my/id/eprint/20040/2/ACIIDS%202017%20-%20Published%20paper.pdf
http://eprints.utem.edu.my/id/eprint/20040/
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spelling my.utem.eprints.200402017-11-24T09:33:11Z http://eprints.utem.edu.my/id/eprint/20040/ Text Summarization Based On Classification Using ANFIS Jaya Kumar, Yogan Fong , Jia Kang Ong , Sing Goh Khan, Atif T Technology (General) TA Engineering (General). Civil engineering (General) The information overload faced by today’s society has created a big challenge for people who want to look for relevant information from the internet.There are a lot of online documents available and digesting such large texts collection is not an easy task. Hence, automatic text summarization is required to automate the process of summarizing text by extracting only the salient information from the documents. In this paper, we propose a text summarization model based on classification using Adaptive Neuro-Fuzzy Inference System (ANFIS). The model can learn to filter high quality summary sentences. We then compare the performance of our proposed model with the existing approaches which are based on neural network and fuzzy logic techniques. ANFIS was able to alleviate the limitations in the existing approaches and the experimental finding of this study shows that the proposed model yields better results in terms of precision, recall and F-measure on the Document Understanding Conference (DUC) data corpus. Springer 2017 Book Section PeerReviewed text en http://eprints.utem.edu.my/id/eprint/20040/2/ACIIDS%202017%20-%20Published%20paper.pdf Jaya Kumar, Yogan and Fong , Jia Kang and Ong , Sing Goh and Khan, Atif (2017) Text Summarization Based On Classification Using ANFIS. In: Advanced Topics In Intelligent Information And Database Systems. Springer, pp. 405-417. ISBN 9783319566603
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Jaya Kumar, Yogan
Fong , Jia Kang
Ong , Sing Goh
Khan, Atif
Text Summarization Based On Classification Using ANFIS
description The information overload faced by today’s society has created a big challenge for people who want to look for relevant information from the internet.There are a lot of online documents available and digesting such large texts collection is not an easy task. Hence, automatic text summarization is required to automate the process of summarizing text by extracting only the salient information from the documents. In this paper, we propose a text summarization model based on classification using Adaptive Neuro-Fuzzy Inference System (ANFIS). The model can learn to filter high quality summary sentences. We then compare the performance of our proposed model with the existing approaches which are based on neural network and fuzzy logic techniques. ANFIS was able to alleviate the limitations in the existing approaches and the experimental finding of this study shows that the proposed model yields better results in terms of precision, recall and F-measure on the Document Understanding Conference (DUC) data corpus.
format Book Section
author Jaya Kumar, Yogan
Fong , Jia Kang
Ong , Sing Goh
Khan, Atif
author_facet Jaya Kumar, Yogan
Fong , Jia Kang
Ong , Sing Goh
Khan, Atif
author_sort Jaya Kumar, Yogan
title Text Summarization Based On Classification Using ANFIS
title_short Text Summarization Based On Classification Using ANFIS
title_full Text Summarization Based On Classification Using ANFIS
title_fullStr Text Summarization Based On Classification Using ANFIS
title_full_unstemmed Text Summarization Based On Classification Using ANFIS
title_sort text summarization based on classification using anfis
publisher Springer
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/20040/2/ACIIDS%202017%20-%20Published%20paper.pdf
http://eprints.utem.edu.my/id/eprint/20040/
_version_ 1665905760418136064
score 13.251813

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