Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Detecting distressed and non-distressed affect states in short forum texts
LSM '12 Proceedings of the Second Workshop on Language in Social Media
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Article terms can move stock prices. By analyzing verbs in financial news articles and coupling their usage with a discrete machine learning algorithm tied to stock price movement, we can build a model of price movement based upon the verbs used, to not only identify those terms that can move a stock price the most, but also whether they move the predicted price up or down.