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 trading decision. This empirical res...

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Main Authors: Islam, Mohammad Rabiul (Author), Al-Shaikhli, Imad Fakhri (Author), Mohd Nor, Rizal Bin (Author), Varadarajan, Vijayakumar (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-05-01.
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001 ijeecs11887_8405
042 |a dc 
100 1 0 |a Islam, Mohammad Rabiul  |e author 
100 1 0 |e contributor 
700 1 0 |a Al-Shaikhli, Imad Fakhri  |e author 
700 1 0 |a Mohd Nor, Rizal Bin  |e author 
700 1 0 |a Varadarajan, Vijayakumar  |e author 
245 0 0 |a Technical Approach in Text Mining for Stock Market Prediction: A Systematic Review 
260 |b Institute of Advanced Engineering and Science,   |c 2018-05-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/11887 
520 |a 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 soft-computing 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. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Text mining approach; Online news mining; Stock market prediction 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 10, No 2: May 2018; 770-777 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v10.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/11887/8405 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/11887/8405  |z Get fulltext