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A Proposed Method for Summarizing Arabic Single Document

by Asmaa Awad A. Bialy, A. A. Ewees, A. F. ElGamal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 34
Year of Publication: 2018
Authors: Asmaa Awad A. Bialy, A. A. Ewees, A. F. ElGamal
10.5120/ijca2018916857

Asmaa Awad A. Bialy, A. A. Ewees, A. F. ElGamal . A Proposed Method for Summarizing Arabic Single Document. International Journal of Computer Applications. 180, 34 ( Apr 2018), 9-14. DOI=10.5120/ijca2018916857

@article{ 10.5120/ijca2018916857,
author = { Asmaa Awad A. Bialy, A. A. Ewees, A. F. ElGamal },
title = { A Proposed Method for Summarizing Arabic Single Document },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2018 },
volume = { 180 },
number = { 34 },
month = { Apr },
year = { 2018 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number34/29264-2018916857/ },
doi = { 10.5120/ijca2018916857 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:02:37.281498+05:30
%A Asmaa Awad A. Bialy
%A A. A. Ewees
%A A. F. ElGamal
%T A Proposed Method for Summarizing Arabic Single Document
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 34
%P 9-14
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes an automatic text summarization method, which is considered as a selective process for the most important information in the original text. It could be divided into two types extractive and abstractive. In this study, a system for single documents text summarization is introduced to be used for Arabic text that rely on extractive method. According to this, we will go three stages, which are pre-processing phase, scoring of sentence, and summery generation. The pre-processing phase starts by removing punctuation marks, stop words, unifies synonyms as well as stemming words to obtain root form. Then it measures every sentence according to a collection of features in order to get the sentences with a higher score to be included in the final summary. The system has been evaluated by comparing between manual and automatic summarizations and some measurements are used especially Rouge measure. Manual summarize is done by two human experts to check the summaries’ quality in terms of the general form, content, coherence of the phrases, lack of elaboration, repetition, and completeness of the meaning. The final results proved that the proposed method achieved the higher performance than other systems.

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Index Terms

Computer Science
Information Sciences

Keywords

Text summarization Arabic single document Text mining.

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