Although it is still not as precise as the ML-based approach described in (Basiri et al., 2014), this compares fairly well with related work and the experiments confirm that there is value in our approach.
an acceptably accurate lexicon-based approach can be used to bootstrap an ML-based system that does not require a large training set to start achieving results.