For the widely studied problem of polarity prediction in social media (positive vs. negative emotion or evaluation, only; Rosenthal et al. (2017) ), training data is relatively abundant. However, annotating for more complex representations of affective states-such as Basic Emotions (Ekman, 1992) or ValenceArousal-Dominance (Bradley and Lang, 1994 )-seems to be significantly harder in terms of both time consumption and inter-annotator agreement (IAA)<cite> (Strapparava and Mihalcea, 2007)</cite> .