We use precision, recall, and F 1 to measure performance for positive and negative classes and accuracy and coverage to measure overall performance, following previous work on this dataset.
we found that it is beneficial to also take into account the uncertainty stemming from the automatic sentiment prediction of the unigrams and bigrams.