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Interactive Attention Networks for Aspect-Level Sentiment Classification

arXiv 1709.00893 ↗First posted 4 Sep 2017cs.AI cs.CLcited by 91

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Abstract (arXiv)

Aspect-level sentiment classification aims at identifying the sentiment polarity of specific target in its context. Previous approaches have realized the importance of targets in sentiment classification and developed various methods with the goal of precisely modeling their contexts via generating target-specific representations. However, these studies always ignore the separate modeling of targets. In this paper, we argue that both targets and contexts deserve special treatment and need to be learned their own representations via interactive learning. Then, we propose the interactive attention networks (IAN) to interactively learn attentions in the contexts and targets, and generate the representations for targets and contexts separately. With this design, the IAN model can well represent a target and its collocative context, which is helpful to sentiment classification. Experimental results on SemEval 2014 Datasets demonstrate the effectiveness of our model.

Key facts. Cited by 91 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Sep 2017.

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Citing papers per year: 2021: 27; 2022: 22; 2023: 16; 2024: 14; 2025: 8; 2026: 4.

91 papers.

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  1. 2021A Unified Generative Framework for Aspect-Based Sentiment Analysiscited by 97
  2. 2022A General Survey on Attention Mechanisms in Deep Learningcited by 64
  3. 2021A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysiscited by 61
  4. 2022A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challengescited by 61
  5. 2021Attention, please! A survey of Neural Attention Models in Deep Learningcited by 50
  6. 2021Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTacited by 41
  7. 2021Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extractioncited by 40
  8. 2021Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Trainingcited by 37
  9. 2021ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Predictioncited by 18
  10. 2022A Survey on Aspect-Based Sentiment Classificationcited by 18
  11. 2023UniSA: Unified Generative Framework for Sentiment Analysiscited by 17
  12. 2022Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysiscited by 16
38 more
  1. 2022Causal Intervention Improves Implicit Sentiment Analysiscited by 16
  2. 2024Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Surveycited by 16
  3. 2021Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformercited by 14
  4. 2022A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysiscited by 12
  5. 2022METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweetscited by 12
  6. 2021Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Networkcited by 11
  7. 2021Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysiscited by 11
  8. 2022Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysiscited by 10
  9. 2021Exploiting Position Bias for Robust Aspect Sentiment Classificationcited by 9
  10. 2021First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extractioncited by 8
  11. 2021Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysiscited by 8
  12. 2022DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classificationcited by 8
  13. 2021Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wildcited by 7
  14. 2021BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classificationcited by 7
  15. 2021LSA: Modeling Aspect Sentiment Coherency via Local Sentiment Aggregationcited by 7
  16. 2022A Dataset and BERT-based Models for Targeted Sentiment Analysis on Turkish Textscited by 7
  17. 2023Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm Detectioncited by 7
  18. 2021Multi-Task Attentive Residual Networks for Argument Miningcited by 6
  19. 2021A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Taskcited by 6
  20. 2022Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysiscited by 6
  21. 2024Attention Beats Linear for Fast Implicit Neural Representation Generationcited by 6
  22. 2021Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learningcited by 5
  23. 2022Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruningcited by 5
  24. 2023Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Modelcited by 5
  25. 2024A Comprehensive Survey of Text Classification Techniques and Their Research Applications: Observational and Experimental Insightscited by 5
  26. 2024Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysiscited by 5
  27. 2025Exploring Model Editing for LLM-based Aspect-Based Sentiment Classificationcited by 5
  28. 2021Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviewscited by 4
  29. 2022PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysiscited by 4
  30. 2022Understanding Attention for Vision-and-Language Taskscited by 4
  31. 2023RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysiscited by 4
  32. 2021Arabic aspect based sentiment analysis using bidirectional GRU based modelscited by 3
  33. 2021Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion networkcited by 3
  34. 2021Interventional Aspect-Based Sentiment Analysiscited by 3
  35. 2021AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanationscited by 3
  36. 2023RuSentNE-2023: Evaluating Entity-Oriented Sentiment Analysis on Russian News Textscited by 3
  37. 2023Rank-Aware Negative Training for Semi-Supervised Text Classificationcited by 3
  38. 2024Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Predictioncited by 3

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