Text mining approaches for stock market prediction
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
Mining, discovery, stock,prediction,mining.
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