In terms of accuracy, this classifier does not perform much worse than the BoosTexter and TiMBL classifiers that use all the neutral-polar features: The SVM word+priorpol baseline classifier has an accuracy of 75.6%, and both the BoosTexter and TiMBL classifiers have an accuracy of 76.5%.
the BoosTexter and TiMBL classifiers using all the features perform notably better in terms of polar recall and F-measure.