First, we compared our baseline, lexical unigrams with SVM to using lexical n-grams to test whether using n-grams actually contributed to the quality, and found the difference to be significant (sign-test p<0.024).
for SVM-based classification, the higher reported performance for also including POS features in addition to lexical n-grams could not be shown to be significant (p>0.4).