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TOPSIS with multiple linear regression for multi-document text summarization
Other Title(s)
Topsis مع الانحدار الخطي المتعدد لتلخيص النصوص المتعددة
Joint Authors
Mal Allah, Suhad
Ali, Zuhayr Husayn
Source
Issue
Vol. 58, Issue 3A (30 Sep. 2017), pp.1298-1307, 10 p.
Publisher
University of Baghdad College of Science
Publication Date
2017-09-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Topics
Abstract EN
The huge amount of information in the internet makes rapid need of text summarization.
Text summarization is the process of selecting important sentences from documents with keeping the main idea of the original documents.
This paper proposes a method depends on Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).
The first step in our model is based on extracting seven features for each sentence in the documents set.
Multiple Linear Regression (MLR) is then used to assign a weight for the selected features.
Then TOPSIS method applied to rank the sentences.
The sentences with high scores will be selected to be included in the generated summary.
The proposed model is evaluated using dataset supplied by the Text Analysis Conference (TAC-2011) for English documents.
The performance of the proposed model is evaluated using Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metric.
The obtained results support the effectiveness of the proposed model
American Psychological Association (APA)
Mal Allah, Suhad& Ali, Zuhayr Husayn. 2017. TOPSIS with multiple linear regression for multi-document text summarization. Iraqi Journal of Science،Vol. 58, no. 3A, pp.1298-1307.
https://search.emarefa.net/detail/BIM-759786
Modern Language Association (MLA)
Mal Allah, Suhad& Ali, Zuhayr Husayn. TOPSIS with multiple linear regression for multi-document text summarization. Iraqi Journal of Science Vol. 58, no. 3A (2017), pp.1298-1307.
https://search.emarefa.net/detail/BIM-759786
American Medical Association (AMA)
Mal Allah, Suhad& Ali, Zuhayr Husayn. TOPSIS with multiple linear regression for multi-document text summarization. Iraqi Journal of Science. 2017. Vol. 58, no. 3A, pp.1298-1307.
https://search.emarefa.net/detail/BIM-759786
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1306-1307
Record ID
BIM-759786