  We introduce a novel parameterized convolutional neural network for aspect
level sentiment classification. Using parameterized filters and parameterized
gates, we incorporate aspect information into convolutional neural networks
(CNN). Experiments demonstrate that our parameterized filters and parameterized
gates effectively capture the aspect-specific features, and our CNN-based
models achieve excellent results on SemEval 2014 datasets.
