Term-based Features for Sentiment Classification Yusuf Ziya Işık 5 ...

Bigram Results●●●Using only bigrams did worse than using only unigramsunlike Dave's work.Using unigrams + bigrams did better unlike Pang's work.Possible reason: Pang worked on a subset of data (1400reviews total) with three-fold cross validation.Separately scaling the unigram and bigram termfrequencies did help. (ann versus ann separate)