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Stock Market Prediction Using Text Mining Approaches: A Survey

A. Sahoo1 , J.K. Mantri2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 443-450, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.443450

Online published on Feb 28, 2019

Copyright © A. Sahoo, J.K. Mantri . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A. Sahoo, J.K. Mantri, “Stock Market Prediction Using Text Mining Approaches: A Survey,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.443-450, 2019.

MLA Style Citation: A. Sahoo, J.K. Mantri "Stock Market Prediction Using Text Mining Approaches: A Survey." International Journal of Computer Sciences and Engineering 7.2 (2019): 443-450.

APA Style Citation: A. Sahoo, J.K. Mantri, (2019). Stock Market Prediction Using Text Mining Approaches: A Survey. International Journal of Computer Sciences and Engineering, 7(2), 443-450.

BibTex Style Citation:
@article{Sahoo_2019,
author = {A. Sahoo, J.K. Mantri},
title = {Stock Market Prediction Using Text Mining Approaches: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {443-450},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3684},
doi = {https://doi.org/10.26438/ijcse/v7i2.443450}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.443450}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3684
TI - Stock Market Prediction Using Text Mining Approaches: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - A. Sahoo, J.K. Mantri
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 443-450
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Stock market prediction is an attractive research problem to be investigated in the field of computational finance. News contents are one of the most important factors that have influence on market. Considering the news impact in analyzing the stock market behaviour, leads to more precise predictions and as a result more profitable trades. Text mining , or the pragmatic research perspective of computational linguistics, has become increasingly powerful due to data availability and various techniques developed in the past decade. However, no detailed comparison of the systems and their performances is available thus far. This paper tries to describe the main systems developed and presents a survey work for comparing the approaches.

Key-Words / Index Term

Text mining, Natural language processing (NLP), sentimental analysis, stock market prediction

References

[1]. Aditya Bhardwaja,Yogendra Narayanb, Vanrajc, Pawana, Maitreyee Dutta, Sentiment Analysis for Indian Stock Market prediction using Sensex and Nifty, Procedia Computer Science 70 ( 2015) pp 85-91 ,2015.
[2]. Felix Ming Fai Wong, Zhenming Liu, Mung Chiang , Stock Market Prediction from WSJ: Princeton University.
[3]. Heeyoung Lee, Mihai Surdeanu Bill MacCartney, Dan Jurafsky ,On the Importance of Text Analysis for Stock Price Prediction, http://www.sec.gov/edgar.shtml. pp 1-4,2008.
[4]. Jageshwer Shriwas1 , Shagufta Farzana ,Using Text Mining and Rule Based Technique for Prediction of Stock Market Price, International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459,pp 245-250,2014.
[5]. Robert P. Schumaker and Hsinchun Chen . Textual Analysis of Stock Market Prediction Using Breaking: Artificial Intelligence Lab, The University of Arizona, Arizona 85721, USA, pp 1-29,2007.
[6]. Vaishali Ingle; Sachin Deshmukh , Predictive mining for stock market based on live news TF-IDF features, International Journal of Autonomic Computing, Vol.2 No.4, 10.1504/IJAC.2017.089703,pp 341-345,2017.
[7]. Yancong Xie1, 2, Hongxun Jiang , Stock Market Forecasting Based on Text Mining Technology:A-Support Vector Machine Method. Journal of Computers,doi:10.17706 /jcp.12.6.500-510,2016.
[8]. Arti Buchek , Dr. M. B. Chandak (2016) Stock Market Prediction using Text Opinion Mining: A Survey, International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277 128x,pp 566-569,2016.
[9]. Azadeh Nikfarjam ; Ehsan Emadzadeh ; Saravanan Muthaiyah .Text mining approaches for stock market prediction,IEEE Xpolre, DOI: 10.1109/ICCAE.2010.5451705,2010.
[10]. Cambria E, Livingstone A, Hussain A ,The hourglass of emotions. In: Lecture notes in computer science, vol 7403. Springer, pp 144–157,2012.
[11]. Chan SW,Chong MW, Sentiment Analysis for stock market prediction, Journal of Computers ,pp197-119,2017.
[12]. Chan SW, Chong MW , Sentiment analysis in financial texts. Decis Support Syst. 94:53–64,2017.
[13]. Chanwit Onsumran, Sotarat Thammaboosadee, and Supaporn Kiattisin , Gold Price Volatility Prediction by Text Mining in Economic Indicators News. Journal of Advances in Information Technology Vol. 6, No. 4,243-47,2015.
[14]. Enric Junqué de Fortuny , Tom De Smedt , David Martens , Walter Daelemans Evaluating and understanding text-based stock price prediction models, Information Processing & Management ,Volume 50, Issue 2, pp 426-441,2014.
[15]. Enric Junqué de Fortuny a,⇑, Tom De Smedt b, David Martens a, Walter Daelemans, Evaluating and understanding text-based stock price prediction models, http://dx.doi.org/10.1016/j.ipm.2013.12.002: pp( 1- 13),2013
[16]. Feldman R , Techniques and applications for sentiment analysis. Common ACM 56(4):82–89,2013.
[17]. Frank Z. Xing1 • Erik Cambria,Roy E. Welsch , Natural language based financial forecasting: asurvey, https://doi.org/10.1007/s10462-017-9588-9, pp 50-73,2017.
[18]. Frederick S.M. Herz, Warrington,Lyle H. Ungar, Philadelphia; Jason M. Eisner, Baltimore,Stock market prediction using NLP US2003/0135445 AI
[19]. Joa˜o Guerreiro, • Paulo Rita,• Duarte Trigueiros2 , A Text Mining-Based Review of Cause-Related Marketing Literature, J Bus Ethics DOI 10.1007/s10551-015-2622-4, pp ( 1-17).2015.
[20]. Kranti M. Jaybhay , Rajesh V. Argiddi , S.S.Apte, Stock Market Prediction Model by Combining Numeric and News Textual Mining, International Journal of Computer Applications (0975 – 8887) Volume 57– No.19, November 2012, pp ( 16-22),2014.
[21]. Maecello Backmann, Stock Market Prediction Model, International Journal of Computer Applications pp 121-143 2017.
[22]. Manisha V. Pinto, Kavita Asnani , Stock Price Prediction Using Quotes and Financial News, Volume-1, Issue-5, IJSCE,pp266-269,2011.
[23]. Massimiliano Caporin 1, and Francesco Poli , Building News Measures from Textual Data and an Application to Volatility Forecasting. Econometrics, doi:10.3390/econometrics5030035, pp 1-47,2017.
[24]. Pavel Netolický1, Jonáš Petrovský1, František Dařena1, Text Mining in Streams of Textual Data Using Time Series Applied to Stock Market. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 66(6): 1573 – 1580. 2018
[25]. Robert P. Schumaker and Hsinchun Chen, Textual Analysis of Stock Market Prediction Using Breaking Financial News: pp ( 1-21),2009
[26]. S.S Abdullah, M. Rahaman and M. Rahman, Analysis of Stock Market using Text Mining and Natural Language Processing.IEEE Xpolre 978-1-4799-0400-6/13,2013.
[27]. S.S.Panigrahi, J.K.Mantri, Spinger pp241-268 ( 2015).
[28]. Sadi evren seker,cihan mert,khaled al-naami,nuri ozalp,ugur ayan time series analysis on stock market for text mining correlation of Economynews, International journal of social sciences and humanity studies, Vol 6, no 1, 2014 ISSN: 1309-8063 (online)pp( 69- 91),2014.

[29]. Sheikh SaugatbAbdullah, Mohammad Saudar Rahman : Text Mining-Based Review , International Journal of Emerging Technology and Advanced Engineering ,pp69-81,(2013).
[30]. Bharathi, Angelina Geetha(2017) Sentiment Analysis for Effective Stock Market Prediction, International Journal of Intelligent Engineering and Systems, Vol.10, No.3,DOI: 10.22266/ijies2017.0630.16,pp 146-154.2017.
[31]. Spandan Ghose Chowdhury , Soham Routh , Satyajit Chakrabarti ,News Analytics and Sentiment Analysis to Predict Stock Price Trends, International Journal of Computer Science and Information Technologies, Vol. 5 (3),ISSN 0975-9646,pp 3596-3604.2014.
[32]. Tseng-Chung Tang, Hsu-Tong Deng, Li-Chiu Chi , Textual Analysis of Stock Market Prediction Using Financial News Articles and Google Search Queries International Journal of Innovative Research in Science, Engineering and Technology(An ISO 3297: 2007 Certified Organization)Vol. 4, Issue 8, August 2015, PP 6992-6994,2015.
[33]. Walter Paul Labys, Stock Market Prediction Using Natural Language Processing, Pub. No.: US 2003/0135445 A1, pp 1-10,2003.
[34]. Y.-C. Phung Text mining for stock movement predictions: a Malaysian perspective, www.witpress.com, ISSN 1743-3517,pp 103-111,2005.
[35]. Yoosin Kim , Seung Ryul Jeong , Imran Ghani , Text Opinion Mining to Analyze News for Stock Market Prediction, Int. J. Advance. Soft Comput. Appl., Vol. 6, No. 1, March 2014 ISSN 2074-8523,pp 1-13,2014.