Technical approach in text mining for stock market prediction: a systematic review

Text mining methods and techniques have disclosed the mining task throughout information retrieval discipline in the field of soft computing techniques. To find the meaningful information from the vast amount of electronic textual data become a humongous task for tr...

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Main Authors:	Islam, Mohammad Rabiul, Alshaikhli, Imad Fakhri Taha, Mohd. Nor, Rizal, Varadarajan, Vijayakumar
Format:	Article
Language:	English English
Published:	2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/63249/ http://irep.iium.edu.my/63249/ http://irep.iium.edu.my/63249/ http://irep.iium.edu.my/63249/1/63249_Technical%20Approach%20in%20Text%20Mining%20for%20Stock%20Market.pdf http://irep.iium.edu.my/63249/2/63249_Technical%20Approach%20in%20Text%20Mining%20for%20Stock%20Market_SCOPUS.pdf

id	iium-63249
recordtype	eprints
spelling	iium-632492018-04-25T07:39:43Z http://irep.iium.edu.my/63249/ Technical approach in text mining for stock market prediction: a systematic review Islam, Mohammad Rabiul Alshaikhli, Imad Fakhri Taha Mohd. Nor, Rizal Varadarajan, Vijayakumar QA75 Electronic computers. Computer science Text mining methods and techniques have disclosed the mining task throughout information retrieval discipline in the field of soft computing techniques. To find the meaningful information from the vast amount of electronic textual data become a humongous task for trading decision. This empirical research of text mining role on financial text analysing in where stock predictive model need to improve based on rank search method. The review of this paper basically focused on text mining techniques, methods and principle component analysis that help reduce the dimensionality within the characteristics and optimal features. Moreover, most sophisticated softcomputing methods and techniques are reviewed in terms of analysis, comparison and evaluation for its performance based on electronic textual data. Due to research significance, this empirical research also highlights the limitation of different strategies and methods on exact aspects of theoretical framework for enhancing of performance. 2018-05-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/63249/1/63249_Technical%20Approach%20in%20Text%20Mining%20for%20Stock%20Market.pdf application/pdf en http://irep.iium.edu.my/63249/2/63249_Technical%20Approach%20in%20Text%20Mining%20for%20Stock%20Market_SCOPUS.pdf Islam, Mohammad Rabiul and Alshaikhli, Imad Fakhri Taha and Mohd. Nor, Rizal and Varadarajan, Vijayakumar (2018) Technical approach in text mining for stock market prediction: a systematic review. Indonesian Journal of Electrical Engineering and Computer Science, 10 (2). pp. 770-777. ISSN 2502-4752 http://www.iaescore.com/journals/index.php/IJEECS/article/view/11887 10.11591/ijeecs.v10.i2.pp770-777
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, Mohammad Rabiul Alshaikhli, Imad Fakhri Taha Mohd. Nor, Rizal Varadarajan, Vijayakumar Technical approach in text mining for stock market prediction: a systematic review
description	Text mining methods and techniques have disclosed the mining task throughout information retrieval discipline in the field of soft computing techniques. To find the meaningful information from the vast amount of electronic textual data become a humongous task for trading decision. This empirical research of text mining role on financial text analysing in where stock predictive model need to improve based on rank search method. The review of this paper basically focused on text mining techniques, methods and principle component analysis that help reduce the dimensionality within the characteristics and optimal features. Moreover, most sophisticated softcomputing methods and techniques are reviewed in terms of analysis, comparison and evaluation for its performance based on electronic textual data. Due to research significance, this empirical research also highlights the limitation of different strategies and methods on exact aspects of theoretical framework for enhancing of performance.
format	Article
author	Islam, Mohammad Rabiul Alshaikhli, Imad Fakhri Taha Mohd. Nor, Rizal Varadarajan, Vijayakumar
author_facet	Islam, Mohammad Rabiul Alshaikhli, Imad Fakhri Taha Mohd. Nor, Rizal Varadarajan, Vijayakumar
author_sort	Islam, Mohammad Rabiul
title	Technical approach in text mining for stock market prediction: a systematic review
title_short	Technical approach in text mining for stock market prediction: a systematic review
title_full	Technical approach in text mining for stock market prediction: a systematic review
title_fullStr	Technical approach in text mining for stock market prediction: a systematic review
title_full_unstemmed	Technical approach in text mining for stock market prediction: a systematic review
title_sort	technical approach in text mining for stock market prediction: a systematic review
publishDate	2018
url	http://irep.iium.edu.my/63249/ http://irep.iium.edu.my/63249/ http://irep.iium.edu.my/63249/ http://irep.iium.edu.my/63249/1/63249_Technical%20Approach%20in%20Text%20Mining%20for%20Stock%20Market.pdf http://irep.iium.edu.my/63249/2/63249_Technical%20Approach%20in%20Text%20Mining%20for%20Stock%20Market_SCOPUS.pdf
first_indexed	2023-09-18T21:29:42Z
last_indexed	2023-09-18T21:29:42Z
_version_	1777412428700581888

Technical approach in text mining for stock market prediction: a systematic review

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