Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
Published 1 January 2018Open access
Binxuan Huang, Kathleen M. Carley
Citations184
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TL;DR
A novel parameterized convolutional neural network is introduced for aspect level sentiment classification using parameterized filters and parameterized gates to incorporate aspect information into convolutionAL neural networks (CNN).
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.
Keywords
Computer Science
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