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Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks

arXiv 1804.06536 ↗First posted 18 Apr 2018cs.CLcited by 24

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Abstract (arXiv)

Aspect-level sentiment classification aims to identify the sentiment expressed towards some aspects given context sentences. In this paper, we introduce an attention-over-attention (AOA) neural network for aspect level sentiment classification. Our approach models aspects and sentences in a joint way and explicitly captures the interaction between aspects and context sentences. With the AOA module, our model jointly learns the representations for aspects and sentences, and automatically focuses on the important parts in sentences. Our experiments on laptop and restaurant datasets demonstrate our approach outperforms previous LSTM-based architectures.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Apr 2018.

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Citing papers per year: 2021: 8; 2022: 8; 2023: 4; 2024: 1; 2025: 1; 2026: 2.

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  1. 2022How would Stance Detection Techniques Evolve after the Launch of ChatGPT?cited by 76
  2. 2023Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Mediacited by 23
  3. 2023On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Trainingcited by 20
  4. 2021Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysiscited by 11
  5. 2022Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysiscited by 10
  6. 2021Exploiting Position Bias for Robust Aspect Sentiment Classificationcited by 9
  7. 2021Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wildcited by 7
  8. 2021BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classificationcited by 7
  9. 2022Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysiscited by 6
  10. 2022PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysiscited by 5
  11. 2024Stance Detection on Social Media with Fine-Tuned Large Language Modelscited by 5
  12. 2021Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviewscited by 4
12 more
  1. 2021Arabic aspect based sentiment analysis using bidirectional GRU based modelscited by 3
  2. 2022A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysiscited by 3
  3. 2023Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classificationcited by 2
  4. 2022Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Networkcited by 1
  5. 2022Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networkscited by 1
  6. 2022Aspect-specific Context Modeling for Aspect-based Sentiment Analysiscited by 1
  7. 2026Which Review Aspect Has a Greater Impact on the Duration of Open Peer Review in Multiple Rounds? -- Evidence from Nature Communicationscited by 1
  8. 2021Position-based Contributive Embeddings for Aspect-Based Sentiment Analysiscited by 0
  9. 2021Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classificationcited by 0
  10. 2023Dual-Attention Model for Aspect-Level Sentiment Classificationcited by 0
  11. 2025PABSA: Hybrid Framework for Persian Aspect-Based Sentiment Analysiscited by 0
  12. 2026Aspect-Based Sentiment Evolution and its Correlation with Review Rounds in Multi-Round Peer Reviews: A Deep Learning Approachcited by 0