Early fusion of low level features for emotion mining.

WE STUDY THE DISCRIMINATION OF EMOTIONS ANNOTATED IN FREE TEXTS AT THE SENTENCE LEVEL: a sentence can either be associated with no emotion (neutral) or multiple labels of emotion. The proposed system relies on three characteristics. We implement an early fusion of grams of increasing orders transposing an approach successfully employed in the related task of opinion mining.