A Textual Analysis Algorithm for the Equity Market:The European Case

This article explores the use of the crowd to interpret text and the power of that interpretation to predict future events. This topic is addressed through an experiment in which news sentiment is evaluated by crowds and experts in different configurations. Their classifications are used as training sets for machine-learning algorithms. The testing is done based on Reuters news stories and the returns of the stocks mentioned right after the...