Experiments show that adopting morphological types annotated by two classifiers for polarity prediction has little difference.
cRF and SVM classifiers have an 8% f-score difference in their best performance of classification, while the performance gap in word polarity prediction using morphological types provided by these two classifiers is around 1.3% only (0.5806 vs. 0.5938).