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Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification

2019-09-13 14:59:51
Binxuan Huang, Kathleen M. Carley
arXiv_CL
         
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/1909.06276

PDF

https://arxiv.org/pdf/1909.06276.pdf

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