Therefore, the F-scores for the classes 'favor' and 'against' are more balanced over all targets than for just   The Stance Dataset with labels for both stance and sentiment allows us, for the first time, to conduct an experiment to determine the extent to which stance detection can be solved with sentiment analysis alone.
we determine the performance of an oracle system that assigns stance as follows: For each target, select a sentiment-tostance assignment (mapping all positive instances to 'favor' and all negative instances to 'against' OR mapping all positive instances to 'against' and all negative instances to 'favor') that maximizes the F-macroT score.