It has been shown that simply extracting the frequent noun terms from the Pros and Cons reviews can get high accurate aspect terms (Liu el al., 2005).
we extract the frequent noun terms from Pros and Cons reviews as features, then train a one-class SVM (Manevitz et al., 2002) to identify aspects from the candidates.