The aspects are regarded as instances and their sentiment distributions are predicted by an attention-based classifier, while the document is regarded as a bag and its sentiment distribution is computed as a combination of the aspect-level sentiment distributions.
we provide a framework for learning aspectlevel classifier by optimizing the document-level predictions.