As we treated the mining of pros and cons as a supervised keyphrase extraction task, we conducted measurements with KEA (Witten et al., 1999), which is one of the most cited publicly available automatic keyphrase extraction system.
we should note that due to the fact that our phrase extraction and representation strategy (and even the determination of true positive instances to some extent) slightly differs from that of KEA, the added values of our features should rather be compared to our second Baseline System (BL W N ) which uses WordNet for candidate phrase normalization.