Arabic text summarization using dynamic template
Other Title(s)
تلخيص نص اللغة العربية باستخدام القوالب التفاعلية
Dissertant
Thesis advisor
University
Amman Arab University
Faculty
Collage of Computer Sciences and Informatics
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2018
English Abstract
The online information available on World Wide Web is in enormous amount.
Search engines like Google, Yahoo were developed to retrieve information from the databases.
But actual results were not obtained as the electronic information is increasing day by day.
Thus automatic summarization came into demand.
Automatic summarization gathers several documents as input and provides the shorter summarized version as output which is informative, unambiguous, save valuable time.
Single document text summarization is one of the summarization type that has the ability to distinguish the most informative or the less informative portion of the text in one document.
This study is to propose a new mechanism for Arabic text summarization based on dynamic template to be applied in single document text.
The proposed mechanism is evaluated using CNN Arabic corpus.
Then, it compared with other existing mechanism (i.e.
Al-Zoubi’s mechanism) based on different evaluation metrics, including: text quality, non-redundancy, reference clarity, coherence, precision, recall, accuracy.
The results indicated that proposed mechanism is more efficient than Al-Zoubi’s mechanism.
In detail, the summary resulted from the proposed policy has very strong overall text quality level (4.775 out of 5), very strong overall non-redundancy level (4.84 out of 5), very strong overall reference clarity level (4.775 out of 5), very strong overall coherence level (4.775 out of 5).
In addition, it achieves very high level of accuracy (0.992), precision (0.98) and recall (0.96).
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
76
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Research method.
Chapter Four : Analysis and results.
Chapter Five : Conclusions.
References.
American Psychological Association (APA)
Alawinah, Muhammad Sami N.. (2018). Arabic text summarization using dynamic template. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-932642
Modern Language Association (MLA)
Alawinah, Muhammad Sami N.. Arabic text summarization using dynamic template. (Master's theses Theses and Dissertations Master). Amman Arab University. (2018).
https://search.emarefa.net/detail/BIM-932642
American Medical Association (AMA)
Alawinah, Muhammad Sami N.. (2018). Arabic text summarization using dynamic template. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-932642
Language
English
Data Type
Arab Theses
Record ID
BIM-932642
