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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Format: | Article |
Language: | English |
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Wiley
2021-01-01
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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 |