This is because our approach can exploit more sentiment-related characteristics and knowledge for sentiment domain adaptation, such as the general sentiment knowledge shared by various domains, the sentiment graph based domain similarities, and the word-level sentiment polarity relations.
our approach is more suitable for sentiment domain adaptation than these generalpurpose multiple source domain adaptation methods.