Neural Networks for Sentiment Detection in Financial Text

With a rise of algorithmic trading volume in recent years, the need for automatic analysis of financial news emerged. We propose system for quantifying text sentiment based on Neural Networks predictor. Using methodology from empirical finance we prove statistically significant relation between text sentiment of published news and future daily returns