One clear conclusion can be drawn from these experiments: the textual and musical features are both useful for the classification of emotions in songs, and, more importantly, their joint use leads to the highest classification results.
the joint model gives an error rate reduction of 12.9% with respect to the classifier that uses only textual features, and 31.2% with respect to the classifier that uses only musical features.