Neutrosophic Logic-Based Document Summarization

Nowadays, rich quantity of information is offered on the Net which makes it hard for the clients to detect necessary information. Programmed techniques are desirable to effectively filter and search useful data from the Net. The purpose of purported text summarization is to get satisfied content han...

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Main Authors: O. G. El Barbary, Radwan Abu Gdairi
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/9938693
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author O. G. El Barbary
Radwan Abu Gdairi
author_facet O. G. El Barbary
Radwan Abu Gdairi
author_sort O. G. El Barbary
collection DOAJ
description Nowadays, rich quantity of information is offered on the Net which makes it hard for the clients to detect necessary information. Programmed techniques are desirable to effectively filter and search useful data from the Net. The purpose of purported text summarization is to get satisfied content handling with information variety. The main factor of document summarization is to extract benefit feature. In this paper, we extract word feature in three group called important words. Also, we extract sentence feature depending on the extracted words. With increasing knowledge on the Internet, it turns out to be an extremely time-consuming, exhausting, and boring mission to read the whole content and papers and get the relevant information on precise topics
format Article
id doaj-art-644fd1dd9d0e4c7b823bbaa3e20abe7d
institution Kabale University
issn 2314-4629
2314-4785
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-644fd1dd9d0e4c7b823bbaa3e20abe7d2025-02-03T01:04:10ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/99386939938693Neutrosophic Logic-Based Document SummarizationO. G. El Barbary0Radwan Abu Gdairi1Mathematics Department, Faculty of Science, Tanta University, Tanta, EgyptDepartment of Mathematics, Faculty of Science, Zarqa University, Zarqa, JordanNowadays, rich quantity of information is offered on the Net which makes it hard for the clients to detect necessary information. Programmed techniques are desirable to effectively filter and search useful data from the Net. The purpose of purported text summarization is to get satisfied content handling with information variety. The main factor of document summarization is to extract benefit feature. In this paper, we extract word feature in three group called important words. Also, we extract sentence feature depending on the extracted words. With increasing knowledge on the Internet, it turns out to be an extremely time-consuming, exhausting, and boring mission to read the whole content and papers and get the relevant information on precise topicshttp://dx.doi.org/10.1155/2021/9938693
spellingShingle O. G. El Barbary
Radwan Abu Gdairi
Neutrosophic Logic-Based Document Summarization
Journal of Mathematics
title Neutrosophic Logic-Based Document Summarization
title_full Neutrosophic Logic-Based Document Summarization
title_fullStr Neutrosophic Logic-Based Document Summarization
title_full_unstemmed Neutrosophic Logic-Based Document Summarization
title_short Neutrosophic Logic-Based Document Summarization
title_sort neutrosophic logic based document summarization
url http://dx.doi.org/10.1155/2021/9938693
work_keys_str_mv AT ogelbarbary neutrosophiclogicbaseddocumentsummarization
AT radwanabugdairi neutrosophiclogicbaseddocumentsummarization