By carefully selecting the smoothing parameters, the model can preserve dependencies between topic and sentiment words, and is quite capable of distinguishing the positive sentiment of 'unpredictable plot' from the negative sentiment of 'unpredictable steering'.
the model does ignore the ordering of the words, so it will not be able to differentiate the negative phrase 'gone from good to bad' from its exact opposite.