Ranking Model- following previous work on sentiment classification (Pang et al., 2002), they extract unigrams and bigrams, discarding those that occur less than three times (30,000 features extracted) Agreement Model- also use lexicalized features like unigrams and bigrams, but introduce a new feature to quantify the contrastive distance between a pair of words Ex: delicious and dirty would have high contrast, while expensive and slow would have low contrast Feature Representation
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