Existing approaches toward bias detection have not gone far beyond "bag of words" classifiers, thus ignoring richer linguistic context of this kind and often operating at the level of whole documents.
recent work in sentiment analysis has used deep learning to discover compositional effects (Socher et al., 2011b;Socher et al., 2013b).