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Text summarization for news articles by machine learning techniques

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Main Authors: Chew, XinYing, Hew, Zi Jian, Olanrewaju Victor Johnson, Khaw, Khai Wah
Other Authors: xinying@usm.my
Format: Article
Language:English
Published: Institute of Engineering Mathematics, Universiti Malaysia Perlis 2023
Subjects:
Classifier
CNN/Daily Mail
Machine Learning
News Article
Text Summarization
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77725
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spelling my.unimap-777252023-01-25T04:32:16Z Text summarization for news articles by machine learning techniques Chew, XinYing Hew, Zi Jian Olanrewaju Victor Johnson Khaw, Khai Wah xinying@usm.my School of Computer Sciences, 11800, Universiti Sains Malaysia, Pulau Pinang, Malaysia School of Management, 11800, Universiti Sains Malaysia, Pulau Pinang, Malaysia Classifier CNN/Daily Mail Machine Learning News Article Text Summarization Link to publisher's homepage at https://amci.unimap.edu.my/ Text summarizing is very instrumental in natural language text comprehension systems to constructing a text summary using more abstract, condensed knowledge structures. Extractive text summarization is therefore built on language processing to extract the essence sentences of a long text article to produce a summary. Though the known manual process had recorded achievement over time and recently, several machine learning models for extractive text summarization had also been proposed. However, there is a lack of research that benchmark the comparative performance of these machine learning models. This paper, therefore, helps to identify the champion machine learning model in text summarization for news articles and to identify the best text preprocessing method in the machine learning of text summarization. CNN/Daily Mail database is employed for the comparative study of text summarization using chosen classifiers. Random Forest (RF) classifier provides with a champion performance of Rouge-l score, Rouge-2 score and Rouge-L score as 8.2845, 2.884, and 7.9694 respectively. 2023-01-25T04:32:16Z 2023-01-25T04:32:16Z 2022-12 Article Applied Mathematics and Computational Intelligence (AMCI), vol.11(1), 2022, pages 174-196 2289-1315 (print) 2289-1323 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77725 en Institute of Engineering Mathematics, Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Classifier
CNN/Daily Mail
Machine Learning
News Article
Text Summarization
spellingShingle Classifier
CNN/Daily Mail
Machine Learning
News Article
Text Summarization
Chew, XinYing
Hew, Zi Jian
Olanrewaju Victor Johnson
Khaw, Khai Wah
Text summarization for news articles by machine learning techniques
description Link to publisher's homepage at https://amci.unimap.edu.my/
author2 xinying@usm.my
author_facet xinying@usm.my
Chew, XinYing
Hew, Zi Jian
Olanrewaju Victor Johnson
Khaw, Khai Wah
format Article
author Chew, XinYing
Hew, Zi Jian
Olanrewaju Victor Johnson
Khaw, Khai Wah
author_sort Chew, XinYing
title Text summarization for news articles by machine learning techniques
title_short Text summarization for news articles by machine learning techniques
title_full Text summarization for news articles by machine learning techniques
title_fullStr Text summarization for news articles by machine learning techniques
title_full_unstemmed Text summarization for news articles by machine learning techniques
title_sort text summarization for news articles by machine learning techniques
publisher Institute of Engineering Mathematics, Universiti Malaysia Perlis
publishDate 2023
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77725
_version_ 1772813101481066496
score 13.222552

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