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h5. SentiWordNet processing:

Terms of SentiWordNet are assigned polarity scores in dependence of their synset. Therefore, one term can occur several times, with different meanings and different polarity scores. We aggregated the scores into one, as follows:
* words with both high positive and high negative scores (in different synsets) clearly depend on the context; they were not many so we eliminated them, because otherwise sense disambiguation would have been necessary. These words were defined as follows:
min_synsets(sentiwordnet_Pos(w)-sentiwordnet_Neg(w)) < -0.5
max_synsets(sentiwordnet_Pos(w)-sentiwordnet_Neg(w)) > 0.5

h5. MPQA processing:
The dataset is annotated with positive, negative and neutral, without probabilities. We assigned: