We evaluate our proposed approach on two benchmark datasets, namely CMU Multi-modal Opinion-level Sentiment Intensity (CMU-MOSI) corpus (Zadeh et al., 2016)  Each utterance in CMU-MOSI dataset has been annotated as either positive or negative, whereas in CMU-MOSEI dataset labels are in the continuous range of -3 to +3.
in this work we project the instances of CMU-MOSEI in a two-class classification setup with values ≥ 0 signify positive sentiments and values < 0 signify negative sentiments.