The first baseline is based on the hypothesis that the existence of polarized words is a strong indicator that the sentence has an attitude.
we use the number of polarized word in the sentence, the percentage of polarized words to all other words, and whether the sentences has polarized words with mixed or same sign as features to train an SVM classifier to detect attitude.