Text mining approaches for stock market prediction
Published 1 February 2010
Azadeh Nikfarjam, Ehsan Emadzadeh, Saravanan Muthaiyah
Citations85
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TL;DR
The main components of such forecasting systems have been introduced and the way whereby the main components are implemented compared and the potential future research activities have been suggested.
Abstract
Stock market prediction is an attractive research problem to be investigated. News contents are one of the most important factors that have influence on market. Considering the news impact in analyzing the stock market behavior, leads to more precise predictions and as a result more profitable trades. So far various prototypes have been developed which consider the impact of news in stock market prediction. In this paper, the main components of such forecasting systems have been introduced. In addition, different developed prototypes have been introduced and the way whereby the main components are implemented compared. Based on studied attempts, the potential future research activities have been suggested.
Keywords
Computer ScienceDecision SciencesEconomics, Econometrics and Finance
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