The 10-fold cross-validation results of the two classifiers are provided in Table 1 using the metrics of precision, recall, and F-Measure. The evaluation results are quite favorable for both targets and particularly higher for Target-1, considering the fact that they are the initial experiments on the data set. Yet, completely the opposite pattern is observed in stance detection results of baseline systems given in <cite>[12]</cite> , i.e., better F-Measure rates have been obtained for the Against class when compared with the Favor class <cite>[12]</cite> .