ABSA-Survey

Various resources about Aspect-based Sentiment Analysis (ABSA), set up for our recent updated survey paper - A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges.

🔖 [2022-11-6] This is our first release, feel free to contact us if you find any missing important papers. You are also welcome to create a pull request to contribute anything you feel useful!

Paper List

Taxonomy of ABSA tasks, with representative methods of each task. Taken from Fig 2 of this survey paper.

Single ABSA

Aspect Term Extraction (ATE)

Supervised ATE

• Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings. (EMNLP 2015)
• Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. (EMNLP 2016)
• Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. (AAAI 2017)
• Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction. (EMNLP 2017)
• Aspect Term Extraction with History Attention and Selective Transformation. (IJCAI 2018)
• Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. (ACL 2018)
• BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. (NAACL 2019)

Semi-supervised ATE

• Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation. (ACL 2020)
• Enhancing Aspect Term Extraction with Soft Prototypes. (EMNLP 2020)
• Progressive Self-Training with Discriminator for Aspect Term Extraction. (EMNLP 2021)

Unsupervised ATE

• An Unsupervised Neural Attention Model for Aspect Extraction. (ACL 2017)
• Unsupervised Neural Aspect Extraction with Sememes. (IJCAI 2019)

Aspect Category Detection (ACD)

Supervised ACD

• Representation Learning for Aspect Category Detection in Online Reviews. (AAAI 2015)
• Supervised and Unsupervised Aspect Category Detection forSentiment Analysis with Co-occurrence Data. (IEEE-TCYB 2018)
• Aspect Category Detection via Topic-Attention Network. (arXiv 2019)
• LICD: A Language-Independent Approach for Aspect Category Detection. (ECIR 2019)

Unsupervised ACD

• Embarrassingly Simple Unsupervised Aspect Extraction. (ACL 2020)
• A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. (AAAI 2021)

Opinion Term Extraction (OTE)

Aspect-Opinion Co-Extraction (AOCE)

• Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. (EMNLP 2016)
• Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. (AAAI 2017)
• Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction. (EMNLP 2017)
• Aspect Term Extraction with History Attention and Selective Transformation. (IJCAI 2018)
• Global inference for aspect and opinion terms co-extraction based on multi-task neural networks. (IEEE TASLP 2018)
• Deep Weighted MaxSAT for Aspect-based Opinion Extraction. (EMNLP 2020)

Target-oriented Opinion Words Extraction (TOWE)

• Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling. (NAACL 2019)
• Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction. (AAAI 2020)
• Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning. (EMNLP 2020)
• An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction. (EMNLP 2021)

Aspect-based Sentiment Classification (ASC)

We do not include ASC papers here due to the massive amount of papers available, you can refer to surveys dedicated to ASC for details.

Compound ABSA

Aspect-Opinion Pair Extraction (AOPE)

• SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. (ACL 2020)
• Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction. (ACL 2020)
• Question-Driven Span Labeling Model for Aspect–Opinion Pair Extraction. (AAAI 2021)
• Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge. (IJCAI 2021)

Aspect Category Sentiment Analysis (ACSA)

• Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. (EMNLP 2018)
• A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer. (CCL 2020)
• Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network. (COLING 2020)

End-to-End ABSA (E2E-ABSA)

• Open Domain Targeted Sentiment. (EMNLP 2013)
• Neural Networks for Open Domain Targeted Sentiment. (EMNLP 2015)
• Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning. (IJCNN 2018)
• A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. (AAAI 2019)
• An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. (ACL 2019)
• DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. (ACL 2019)
• Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification. (ACL 2019)
• Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. (WUT@EMNLP-19)
• Relation-Aware Collaborative Learningfor Unified Aspect-Based Sentiment Analysis. (ACL 2020)
• An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis. (EMNLP-Findings 2021)

Aspect Sentiment Triplet Extraction (ASTE)

• Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. (AAAI 2020)
• Position-Aware Tagging for Aspect Sentiment Triplet Extraction. (EMNLP 2020)
• Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction. (EMNLP-Findings 2020)
• A Multi-task Learning Framework for Opinion Triplet Extraction. (EMNLP-Findings 2020)
• A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis. (AAAI 2021)
• Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction. (AAAI 2021)
• Towards Generative Aspect-Based Sentiment Analysis. (ACL 2021)
• A Unified Generative Framework for Aspect-Based Sentiment Analysis. (ACL 2021)
• Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. (ACL 2021)
• PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. (EMNLP 2021)
• Structural Bias For Aspect Sentiment Triplet Extraction. (COLING 2022)
• SynGen: A Syntactic Plug-and-play Module for Generative Aspect-based Sentiment Analysis (ICASSP 2023)

Aspect-Category-Sentiment Detection (ACSD)

• Aspect Based Sentiment Analysis into the Wild. (WASSA@EMNLP 2018)
• Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis. (AAAI 2020)
• Multiple-element Joint Detection for Aspect-Based Sentiment Analysis. (KBS 2021)
• Towards Generative Aspect-Based Sentiment Analysis. (ACL 2021)

Aspect Sentiment Quad Prediction (ASQP)

• Aspect-Category-Opinion-Sentiment Quadruple Extractionwith Implicit Aspects and Opinions. (ACL 2021)
• Aspect Sentiment Quad Prediction as Paraphrase Generation. (EMNLP 2021)
• Seq2Path: Generating Sentiment Tuples as Paths of a Tree (ACL-Findings 2022)
• Aspect-based Sentiment Analysis with Opinion Tree Generation. (IJCAI 2022)
• Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation (EMNLP 2022)

Survey Papers

• Survey on Aspect-Level Sentiment Analysis. (TKDE 2016)
• Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review. (ESWA 2019)
• Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges. (IEEE Access 2019)
• Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey. (IEEE-TAC 2020)
• Aspect-Based Sentiment Analysis: A Survey of Deep Learning Methods. (IEEE-TCSS 2020)
• Beneath the Tip of the Iceberg: Current Challengesand New Directions in Sentiment Analysis Research. (IEEE-TAC 2020)

Resources

Reading List

There are other useful reading lists of ABSA (from different angles), check them out!

• https://github.com/NUSTM/ABSA-Reading-List
• https://github.com/ZhengZixiang/ABSAPapers
• https://github.com/1429904852/Aspect-Based-Sentiment-Analysis

Datasets

For more details, you can check Sec 2.4 of our survey paper. Here are some direct links

• SemEval-2014: https://alt.qcri.org/semeval2014/task4/
• SemEval-2015: https://alt.qcri.org/semeval2015/task12/
• SemEval-2016: https://alt.qcri.org/semeval2016/task5/
• TOWE: https://github.com/NJUNLP/TOWE
• ASC-QA: https://github.com/jjwangnlp/ASC-QA
• MAMS: https://github.com/siat-nlp/MAMS-for-ABSA
• ARTS: https://github.com/zhijing-jin/ARTS_TestSet
• ASTE-Data-V2: https://github.com/xuuuluuu/Position-Aware-Tagging-for-ASTE
• ASAP: https://github.com/Meituan-Dianping/asap
• ACOS: https://github.com/NUSTM/ACOS
• ABSA-QUAD: https://github.com/IsakZhang/ABSA-QUAD
• Lasted: https://github.com/GeneZC/StructBias
• AdvABSA: https://github.com/GeneZC/advABSA

Useful Repos

• https://github.com/songyouwei/ABSA-PyTorch: Aspect Based Sentiment Analysis based on PyTorch Implementations.
• https://github.com/yangheng95/PyABSA: Open Framework for Aspect-based Sentiment Analysis based on state-of-the-art Models
• https://github.com/lixin4ever/BERT-E2E-ABSA: Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
• https://github.com/AlexYangLi/ABSA_Keras: Keras Implementation of Aspect based Sentiment Analysis

Citation

If you find this repo or our survey paper helpful, pls consider star 🌟 and cite 📝!

@article{absa-survey,
  author    = {Wenxuan Zhang and
               Xin Li and
               Yang Deng and
               Lidong Bing and
               Wai Lam},
  title     = {A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges},
  journal   = {CoRR},
  volume    = {abs/2203.01054},
  year      = {2022},
  url       = {https://doi.org/10.48550/arXiv.2203.01054},
  doi       = {10.48550/arXiv.2203.01054}
}