Arguably the most pressing problem of current approaches to SA is their poor performance on new domains. This issue is of utmost importance if one thinks about CL in sentiment classification. Research shows that CL can enable SA models to adapt to a large number of domains, since many new domains may already be covered by other past domains. Additionally, SA systems should become more accurate not only in classification but also in the discovery of word polarities in specific domains.