In the two crosslingual set-ups (training and test data drawn from different languages, respectively data sets), we make use of the fact that our models do not rely on any languagespecific information since the categories/dimensions describe (supposedly universal) affective states rather than linguistic entities.
models trained on one language could, in theory, be applied to another without any adaptation.