Dual-Attention Model for Aspect-Level Sentiment Classification
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Abstract (arXiv)
I propose a novel dual-attention model(DAM) for aspect-level sentiment classification. Many methods have been proposed, such as support vector machines for artificial design features, long short-term memory networks based on attention mechanisms, and graph neural networks based on dependency parsing. While these methods all have decent performance, I think they all miss one important piece of syntactic information: dependency labels. Based on this idea, this paper proposes a model using dependency labels for the attention mechanism to do this task. We evaluate the proposed approach on three datasets: laptop and restaurant are from SemEval 2014, and the last one is a twitter dataset. Experimental results show that the dual attention model has good performance on all three datasets.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 13 of its 30 references that are in the map. First posted on arXiv 14 Mar 2023.
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References · 13
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2017Graph Attention Networkscited by 8,854
- 2020Relational Graph Attention Network for Aspect-based Sentiment Analysiscited by 104
- 2017Interactive Attention Networks for Aspect-Level Sentiment Classificationcited by 91
- 2015Effective LSTMs for Target-Dependent Sentiment Classificationcited by 82
- 2016Aspect Level Sentiment Classification with Deep Memory Networkcited by 82
- 2020Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Researchcited by 67
- 2019Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networkscited by 62
- 2019Attentional Encoder Network for Targeted Sentiment Classificationcited by 48
- 2019Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networkscited by 39
- 2018Aspect Level Sentiment Classification with Attention-over-Attention Neural Networkscited by 24
- 2019Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Networkcited by 14
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