Twitter mood predicts the stock market

3 code implementations • 14 Oct 2010 • Johan Bollen, Huina Mao, Xiao-jun Zeng

A Granger causality analysis and a Self-Organizing Fuzzy Neural Network are then used to investigate the hypothesis that public mood states, as measured by the OpinionFinder and GPOMS mood time series, are predictive of changes in DJIA closing values.

Decision Making Stock Market Prediction +2