To further prove the effectiveness of our combination, we compare PSWAM with some state-of-the-art methods, including Hu (Hu and Liu, 2004a) , which extracted frequent opinion target words based on association mining rules, DP (Qiu et al., 2011) , which extracted opinion targets through syntactic patterns, and LIU <cite>(Liu et al., 2012)</cite> , which fulfilled this task by using unsupervised WAM.