We propose a method to adapt existing sentiment lexicons for domain-specific sentiment classification. The proposed method addresses challenges from both content domain and language domain. We evaluate our method using two large developing corpora and five existing sentiment lexicons as seeds and baselines. The evaluation results demonstrate the usefulness of our method.