Supervised sentiment classification systems are domain-specific and annotating a large scale corpus for each domain is very expensive<cite> (Dasgupta and Ng, 2009</cite> ). There are several solutions for this corpus annotation bottleneck. The first type of solution is using old domain labeled examples to new domain sentiment clas-sification. The second type of solution is semisupervised sentiment classification. The third type of solution is unsupervised sentiment classification.