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Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification
September 13, 2019 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Binxuan Huang, Kathleen M. Carley
arXiv ID
1909.06276
Category
cs.CL: Computation & Language
Citations
154
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
4 months ago
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.
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