Intuitively, any sentiment word also indicates emotion and should not be ignored by our emotion classification task.
we propose a shared-private (SP) model as shown in Fig 1.c, where we employ a shared LSTM layer to extract shared sentiment features for both sentiment and emotion classification tasks, and a target-specific LSTM layer to extract specific emotion features that are only sensitive to our emotion classification task.