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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 aspectspecific features, and our CNN-based models achieve excellent results on SemEval 2014 datasets.
Huang et al. (Mon,) studied this question.