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Augmented trading: From news articles to stock price predictions using syntactic analysis

by: Arthur van Bunningen
(2004)

X Abstract

This thesis tries to answer the question how to predict the reaction of the stock market to news articles using the latest suitable developments in Natural Language Processing. This is done using text classification where a new article is matched to a category of articles which have a certain influence on the stock price. The thesis first discusses why analysis of news articles is a feasible approach to predicting the stock market and why analysis of past prices should not be build upon. From...

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