mlsanityData to 13 Oct 2026

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training

arXiv 2111.02194 ↗First posted 3 Nov 2021cs.CL cs.AIcited by 37

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Abstract (arXiv)

Aspect-based sentiment analysis aims to identify the sentiment polarity of a specific aspect in product reviews. We notice that about 30% of reviews do not contain obvious opinion words, but still convey clear human-aware sentiment orientation, which is known as implicit sentiment. However, recent neural network-based approaches paid little attention to implicit sentiment entailed in the reviews. To overcome this issue, we adopt Supervised Contrastive Pre-training on large-scale sentiment-annotated corpora retrieved from in-domain language resources. By aligning the representation of implicit sentiment expressions to those with the same sentiment label, the pre-training process leads to better capture of both implicit and explicit sentiment orientation towards aspects in reviews. Experimental results show that our method achieves state-of-the-art performance on SemEval2014 benchmarks, and comprehensive analysis validates its effectiveness on learning implicit sentiment.

Key facts. Cited by 37 papers in the map (data through 13 Oct 2026). Builds on 19 of its 38 references that are in the map. First posted on arXiv 3 Nov 2021.

Builds on

19 of 38 references.

References · 19

  1. 2017Attention Is All You Needcited by 60,106
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,304
  3. 2014Adam: A Method for Stochastic Optimizationcited by 37,093
  4. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 12,009
  5. 2019Momentum Contrast for Unsupervised Visual Representation Learningcited by 7,492
  6. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,884
  7. 2020Supervised Contrastive Learningcited by 2,811
  8. 2019How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddingscited by 774
  9. 2016Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filteringcited by 518
  10. 2019BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysiscited by 176
  11. 2020Relational Graph Attention Network for Aspect-based Sentiment Analysiscited by 104
  12. 2017Interactive Attention Networks for Aspect-Level Sentiment Classificationcited by 91
7 more
  1. 2016Aspect Level Sentiment Classification with Deep Memory Networkcited by 82
  2. 2019Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classificationcited by 62
  3. 2020SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysiscited by 54
  4. 2019Attentional Encoder Network for Targeted Sentiment Classificationcited by 48
  5. 2021Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTacited by 41
  6. 2016Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysiscited by 35
  7. 2020Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysiscited by 23

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2022: 8; 2023: 9; 2024: 9; 2025: 8; 2026: 3.

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  1. 2023Sentiment Analysis in the Era of Large Language Models: A Reality Checkcited by 264
  2. 2023Is ChatGPT a Good Sentiment Analyzer? A Preliminary Studycited by 96
  3. 2023Reasoning Implicit Sentiment with Chain-of-Thought Promptingcited by 79
  4. 2022DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysiscited by 27
  5. 2022Causal Intervention Improves Implicit Sentiment Analysiscited by 16
  6. 2022Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structurecited by 13
  7. 2024RVISA: Reasoning and Verification for Implicit Sentiment Analysiscited by 9
  8. 2022A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inferencecited by 8
  9. 2023Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentationscited by 7
  10. 2025Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalizationcited by 7
  11. 2022Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysiscited by 6
  12. 2025EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Taskscited by 5
25 more
  1. 2022PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysiscited by 4
  2. 2024My Words Imply Your Opinion: Reader Agent-based Propagation Enhancement for Personalized Implicit Emotion Analysiscited by 4
  3. 2025Causal Prompting for Implicit Sentiment Analysis with Large Language Modelscited by 4
  4. 2023CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extractioncited by 3
  5. 2024SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similaritycited by 3
  6. 2024Large Language Models in Targeted Sentiment Analysiscited by 3
  7. 2024ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentencecited by 3
  8. 2025Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitationscited by 3
  9. 2022A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognitioncited by 2
  10. 2022Fast Few shot Self-attentive Semi-supervised Political Inclination Predictioncited by 2
  11. 2023ECQED: Emotion-Cause Quadruple Extraction in Dialogscited by 2
  12. 2023Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentationscited by 2
  13. 2023ATESA-BAERT: A Heterogeneous Ensemble Learning Model for Aspect-Based Sentiment Analysiscited by 2
  14. 2023Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgmentscited by 2
  15. 2024Exploring ChatGPT-based Augmentation Strategies for Contrastive Aspect-based Sentiment Analysiscited by 2
  16. 2025When LLMs Team Up: The Emergence of Collaborative Affective Computingcited by 2
  17. 2025Application of Multiple Chain-of-Thought in Contrastive Reasoning for Implicit Sentiment Analysiscited by 1
  18. 2025CHEER-Ekman: Fine-grained Embodied Emotion Classificationcited by 1
  19. 2024CARBD-Ko: A Contextually Annotated Review Benchmark Dataset for Aspect-Level Sentiment Classification in Koreancited by 0
  20. 2024SensoryT5: Infusing Sensorimotor Norms into T5 for Enhanced Fine-grained Emotion Classificationcited by 0
  21. 2024SoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-trainingcited by 0
  22. 2025Continuous Adversarial Text Representation Learning for Affective Recognitioncited by 0
  23. 2026Task-Routed Mixture-of-Experts with Cognitive Appraisal for Implicit Sentiment Analysiscited by 0
  24. 2026GHI: Graphormer over Conditioned Hypergraph Incidence for Aspect-Based Sentiment Analysiscited by 0
  25. 2026ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Textscited by 0