Very recently, CNN-based models have shown the strengths in efficiency to tackle the aspect-level sentiment classification (Xue and Li, 2018;Huang and Carley, 2018;.
all the previous methods utilize static pooling operation or attention mechanism to locate the sentimental words, which fails to handle the overlapped features.