Based on this shallow model of argumentation, we combine existing sentiment analysis approaches with novel features that capture the abstract overall argumentation structure of reviews irrespective of their domain and their linguistic style.
we learn common sequences of local sentiment in reviews through clustering in order to then compare a given review to each of these learned sentiment flow patterns.