Subjectivity and polarity (orientation) (Yu and Hazivassiloglou, EMNLP-03)
For subjective or opinion sentence identification, three methods are tried:
Naïve Bayesian classification.
Multiple naïve Bayesian (NB) classifiers.
For opinion orientation (positive, negative or neutral) (also called polarity) classification, it uses a similar method to (Turney, ACL-02), but
with more seed words (rather than two) and based on log-likelihood ratio (LLR).
For classification of each word, it takes the average of LLR scores of words in the sentence and use cutoffs to decide positive, negative or neutral.