A scientific review of soft-computing techniques and methods for stock market prediction

Information could be power if most technological approach engaged in the era of IT. Web based text mining is one of the approach that could be analyzed in many ways through soft-computing methods and techniques. The analytical result has shown that different methods of text mining have several a...

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Main Authors:	Islam, Muhammad Rabiul, Taha Alshaikhli, Imad Fakhri, Abdulkadir, A.
Format:	Article
Language:	English English
Published:	2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/63931/ http://irep.iium.edu.my/63931/ http://irep.iium.edu.my/63931/ http://irep.iium.edu.my/63931/1/63931_A%20scientific%20review%20of%20soft-computing%20techniques%20and%20methods%20for%20stock%20market%20prediction.pdf http://irep.iium.edu.my/63931/2/63931_A%20scientific%20review%20of%20soft-computing%20techniques%20and%20methods%20for%20stock%20market%20prediction_SCOPUS.pdf

id	iium-63931
recordtype	eprints
spelling	iium-639312018-06-07T01:35:59Z http://irep.iium.edu.my/63931/ A scientific review of soft-computing techniques and methods for stock market prediction Islam, Muhammad Rabiul Taha Alshaikhli, Imad Fakhri Abdulkadir, A. QA75 Electronic computers. Computer science Information could be power if most technological approach engaged in the era of IT. Web based text mining is one of the approach that could be analyzed in many ways through soft-computing methods and techniques. The analytical result has shown that different methods of text mining have several advantages with the gap of knowledge that is required to improve. This paper explores the performance of various methods and its impact on specific text mining field such as web based financial text analysis for stock prediction. Key research area of financial text mining is becoming one of the potential research field based on the source of online news, forums, blogs or social media. 2018-03-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/63931/1/63931_A%20scientific%20review%20of%20soft-computing%20techniques%20and%20methods%20for%20stock%20market%20prediction.pdf application/pdf en http://irep.iium.edu.my/63931/2/63931_A%20scientific%20review%20of%20soft-computing%20techniques%20and%20methods%20for%20stock%20market%20prediction_SCOPUS.pdf Islam, Muhammad Rabiul and Taha Alshaikhli, Imad Fakhri and Abdulkadir, A. (2018) A scientific review of soft-computing techniques and methods for stock market prediction. International Journal of Engineering and Technology, 7 (2.5). pp. 27-31. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/pages/view/Indexing DOI: 10.14419/ijet.v7i2.5.10049
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Islam, Muhammad Rabiul Taha Alshaikhli, Imad Fakhri Abdulkadir, A. A scientific review of soft-computing techniques and methods for stock market prediction
description	Information could be power if most technological approach engaged in the era of IT. Web based text mining is one of the approach that could be analyzed in many ways through soft-computing methods and techniques. The analytical result has shown that different methods of text mining have several advantages with the gap of knowledge that is required to improve. This paper explores the performance of various methods and its impact on specific text mining field such as web based financial text analysis for stock prediction. Key research area of financial text mining is becoming one of the potential research field based on the source of online news, forums, blogs or social media.
format	Article
author	Islam, Muhammad Rabiul Taha Alshaikhli, Imad Fakhri Abdulkadir, A.
author_facet	Islam, Muhammad Rabiul Taha Alshaikhli, Imad Fakhri Abdulkadir, A.
author_sort	Islam, Muhammad Rabiul
title	A scientific review of soft-computing techniques and methods for stock market prediction
title_short	A scientific review of soft-computing techniques and methods for stock market prediction
title_full	A scientific review of soft-computing techniques and methods for stock market prediction
title_fullStr	A scientific review of soft-computing techniques and methods for stock market prediction
title_full_unstemmed	A scientific review of soft-computing techniques and methods for stock market prediction
title_sort	scientific review of soft-computing techniques and methods for stock market prediction
publishDate	2018
url	http://irep.iium.edu.my/63931/ http://irep.iium.edu.my/63931/ http://irep.iium.edu.my/63931/ http://irep.iium.edu.my/63931/1/63931_A%20scientific%20review%20of%20soft-computing%20techniques%20and%20methods%20for%20stock%20market%20prediction.pdf http://irep.iium.edu.my/63931/2/63931_A%20scientific%20review%20of%20soft-computing%20techniques%20and%20methods%20for%20stock%20market%20prediction_SCOPUS.pdf
first_indexed	2023-09-18T21:30:41Z
last_indexed	2023-09-18T21:30:41Z
_version_	1777412489789571072

A scientific review of soft-computing techniques and methods for stock market prediction

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