We also produced an upper bound using Naive Bayes multinomial (NBm) and Support Vector Machine (SVM) 6 classifiers with the NTU Sentiment Dictionary (Ku et al., 2006) vocabulary items as the feature set.
to do this we assume we can use the lexical item 好 (good) as a gold standard for positive lexical items and compare the pattern of contexts a candidate seed occurs in to the pattern exhibited by the gold standard.