To preview our results, we demonstrate that combining just five numerical indicators, automatically extracted from large text corpora, is sufficient to reduce the error rate in this classification task by more than 50% over chance.
we achieve almost 70% accuracy in a task whose baseline (chance) performance is 34%, and whose expert-based upper bound is calculated at 86.5%.