Adaptive multi-view selection for semi-supervised emotion recognition of posts in online student community
The proposed AMVS method adaptively selects emotional features to form discriminative views. The two distributions W and D helps to improve the discriminating power of individual views. We constructed the importance distribution of view dimensionality to set a size for each view.
multi-view selection semi-supervised emotion recognition diversity feature emotional strength kernel smoothing emotion contribution rate