Due to the high sparsity and redundancy of feature space in Chinese sentiment recognition research, a dynamic feature selec- tion mechanism based sentiment recognition method is proposed in terms of ensemble learning. This method first constructs the distri- bution of feature subset dimensionality and importance distribution of feature space via kernel smoothing method. Then the whole fea- ture space is adaptively divided into multiple subspaces with different granularity, and a base classifier is built on corresponding sub- space. Finally, a m...
