The proposed method domain-invariant feature distillation (DIFD) does not need any sentiment polarity labels in the target domain, which is more consistent with the practical settings.
we focus on the aspect-level cross-domain sentiment classification, and train a shared sentiment classifier and two respective aspect detectors in the source and target domains.