Sentiment classification using machine learning methods (Pang et al, EMNLP-02)
This paper directly applied several machine learning techniques to classify movie reviews into positive and negative.
Three classification techniques were tried:
Support vector machine
Pre-processing settings: negation tag, unigram (single words), bigram, POS tag, position.
SVM: the best accuracy 83% (unigram)