<hi xmlns="http://www.tei-c.org/ns/1.0" rend="">To compare the efficiency of the dictionaries, the same classifier was trained separately with the single dictionaries. Fig. 1 shows the results, with AffectiveNorms as the best-performing dictionary (macro </hi> <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">F1 </hi> <hi xmlns="http://www.tei-c.org/ns/1.0" rend="">score of 0.67).</hi>