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min_synsets(sentiwordnet_Pos(w)-sentiwordnet_Neg(w)) < -0.5
max_synsets(sentiwordnet_Pos(w)-sentiwordnet_Neg(w)) > 0.5
* words with very similar positive and negative score in all synsets are said to be neutral. We also remove them:
max_synsets(abs(sentiwordnet_Pos(w)-sentiwordnet_Neg(w))) < 0.2
* the final score is the most polarizing difference in a synset and map it to [0,1]
score_sentiwordnet(w) = 0.5*max_synsets(sentiwordnet_Pos(w)-sentiwordnet_Neg(w))+0.5

h5. MPQA processing: