The Journal of Machine Learning Research
Forecasting Intraday Stock Price Trends with Text Mining Techniques
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 3 - Volume 3
Financial News Mining: Monitoring Continuous Streams of Text
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Computing and information technology challenges for 21st century financial market regulators
EGOV'11 Proceedings of the 10th IFIP WG 8.5 international conference on Electronic government
BizPro: Extracting and categorizing business intelligence factors from textual news articles
International Journal of Information Management: The Journal for Information Professionals
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In this paper we have proposed a stock market analysis system that analyzes financial news items to identify and characterize major events that impact the market. The events have been identified using Latent Dirichlet Allocation (LDA) based topic extraction mechanism. These topics have been thereafter analyzed in conjunction with actual market data to understand their impact on the market. A prediction system has been proposed which can predict whether the stock market will fall or rise, based on news items.