Text Classification

Continuous vector space word representations are leveraged to significantly improve the performance of supervised text classification. Comparisons are made with other standard text classification approaches including a deep network pre-trained with Autoencoder layers. We find that our approach beats the others in terms of accuracy as well its ability to effectively learn from very small training sets.