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Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

arXiv 1909.02606 ↗First posted 5 Sep 2019cs.CLcited by 39

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Abstract (arXiv)

Aspect level sentiment classification aims to identify the sentiment expressed towards an aspect given a context sentence. Previous neural network based methods largely ignore the syntax structure in one sentence. In this paper, we propose a novel target-dependent graph attention network (TD-GAT) for aspect level sentiment classification, which explicitly utilizes the dependency relationship among words. Using the dependency graph, it propagates sentiment features directly from the syntactic context of an aspect target. In our experiments, we show our method outperforms multiple baselines with GloVe embeddings. We also demonstrate that using BERT representations further substantially boosts the performance.

Key facts. Cited by 39 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Sep 2019.

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Citing papers per year: 2021: 11; 2022: 10; 2023: 12; 2024: 3; 2025: 2; 2026: 1.

39 papers.

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  1. 2021How Attentive are Graph Attention Networks?cited by 818
  2. 2022A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challengescited by 61
  3. 2021Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTacited by 41
  4. 2021GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Fillingcited by 33
  5. 2022CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learningcited by 32
  6. 2023On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Trainingcited by 20
  7. 2021Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classificationcited by 13
  8. 2021Syntax-augmented Multilingual BERT for Cross-lingual Transfercited by 11
  9. 2021Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Networkcited by 11
  10. 2022Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysiscited by 10
  11. 2024MSynFD: Multi-hop Syntax aware Fake News Detectioncited by 10
  12. 2021Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysiscited by 8
27 more
  1. 2022DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classificationcited by 8
  2. 2021BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classificationcited by 7
  3. 2021LSA: Modeling Aspect Sentiment Coherency via Local Sentiment Aggregationcited by 7
  4. 2022Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysiscited by 6
  5. 2022Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classificationcited by 6
  6. 2021To be Closer: Learning to Link up Aspects with Opinionscited by 5
  7. 2022Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruningcited by 5
  8. 2023Diffusing Graph Attentioncited by 5
  9. 2022PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysiscited by 4
  10. 2023RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysiscited by 4
  11. 2025Large Language Models Enhanced by Plug and Play Syntactic Knowledge for Aspect-based Sentiment Analysiscited by 3
  12. 2023Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysiscited by 2
  13. 2023Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Modelscited by 2
  14. 2023GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusterscited by 2
  15. 2022Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Networkcited by 1
  16. 2023Contrastive variational information bottleneck for aspect-based sentiment analysiscited by 1
  17. 2023LLM-augmented Preference Learning from Natural Languagecited by 1
  18. 2026Attention-based graph neural networks: a surveycited by 1
  19. 2021Augmenting Part-of-speech Tagging with Syntactic Information for Vietnamese and Chinesecited by 0
  20. 2022Semantic Novelty Detection and Characterization in Factual Text Involving Named Entitiescited by 0
  21. 2023Dual-Attention Model for Aspect-Level Sentiment Classificationcited by 0
  22. 2023Joint Learning of Local and Global Features for Aspect-based Sentiment Classificationcited by 0
  23. 2023Syntactic Fusion: Enhancing Aspect-Level Sentiment Analysis Through Multi-Tree Graph Integrationcited by 0
  24. 2023Syntax-Informed Interactive Model for Comprehensive Aspect-Based Sentiment Analysiscited by 0
  25. 2024Aspect and Opinion Term Extraction Using Graph Attention Networkcited by 0
  26. 2024S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysiscited by 0
  27. 2025OTESGN: Optimal Transport-Enhanced Syntactic-Semantic Graph Networks for Aspect-Based Sentiment Analysiscited by 0