e 10-fold cross-validation results of the two classi ers are provided in Table 1 using the metrics of precision, recall, and F-Measure. e performance of the classi ers is be er for the Favor class for both targets when compared with the performance results for the Against class. e same percentage of common terms may not have been observed in tweets during the expression of negative stances towards the targets. Yet, completely the opposite pa ern is observed in stance detection results of baseline systems given in <cite>[12]</cite> , i.e., be er FMeasure rates have been obtained for the Against class when compared with the Favor class <cite>[12]</cite> .