In ) the robustness of emotIDM was assessed over different Twitter state-of-the-art corpora for irony detection (Reyes et al., 2013;<cite> Barbieri et al., 2014</cite>; Mohammad et al., 2015; Ptáček et al., 2014; Riloff et al., 2013) . The obtained results outperform those in the previous works confirming the significance of affective features for irony detection.