Our approach was to build up on the system of the last year's winning approach by NRC Canada 2013 <cite>(Mohammad et al., 2013)</cite> , with some modifications and additions of features, and additional sentiment lexicons. Furthermore, we used a sparse ( 1 -regularized) SVM, instead of the more commonly used 2 -regularization, resulting in a very sparse linear classifier.