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: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
2018
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| Subjects: | |
| Online Access: | 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 http://irep.iium.edu.my/63249/ http://www.iaescore.com/journals/index.php/IJEECS/article/view/11887 |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | 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. |
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