mlsanityData to 7 Oct 2026

Unsupervised Extractive Opinion Summarization Using Sparse Coding

arXiv 2203.07921 ↗First posted 15 Mar 2022cs.CLcited by 17

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Abstract (arXiv)

Opinion summarization is the task of automatically generating summaries that encapsulate information from multiple user reviews. We present Semantic Autoencoder (SemAE) to perform extractive opinion summarization in an unsupervised manner. SemAE uses dictionary learning to implicitly capture semantic information from the review and learns a latent representation of each sentence over semantic units. A semantic unit is supposed to capture an abstract semantic concept. Our extractive summarization algorithm leverages the representations to identify representative opinions among hundreds of reviews. SemAE is also able to perform controllable summarization to generate aspect-specific summaries. We report strong performance on SPACE and AMAZON datasets, and perform experiments to investigate the functioning of our model. Our code is publicly available at https://github.com/brcsomnath/SemAE.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 27 of its 54 references that are in the map. First posted on arXiv 15 Mar 2022.

Builds on

27 of 54 references.

References · 27

  1. 2017Attention Is All You Needcited by 59,932
  2. 2017Neural Discrete Representation Learningcited by 4,650
  3. 2019The Curious Case of Neural Text Degenerationcited by 2,881
  4. 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,841
  5. 2017Get To The Point: Summarization with Pointer-Generator Networkscited by 1,281
  6. 2016Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyondcited by 809
  7. 2018Object Hallucination in Image Captioningcited by 661
  8. 2016Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filteringcited by 517
  9. 2015A Neural Attention Model for Abstractive Sentence Summarizationcited by 394
  10. 2018Generating Wikipedia by Summarizing Long Sequencescited by 333
  11. 2017Learning to Generate Reviews and Discovering Sentimentcited by 147
  12. 2018Ranking Sentences for Extractive Summarization with Reinforcement Learningcited by 128
15 more
  1. 2016Neural Summarization by Extracting Sentences and Wordscited by 114
  2. 2020Extractive Opinion Summarization in Quantized Transformer Spacescited by 76
  3. 2018Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervisedcited by 75
  4. 2019Unsupervised Opinion Summarization as Copycat-Review Generationcited by 68
  5. 2021Aspect-Controllable Opinion Summarizationcited by 47
  6. 2021Automatic Text Evaluation through the Lens of Wasserstein Barycenterscited by 38
  7. 2020Unsupervised Opinion Summarization with Noising and Denoisingcited by 37
  8. 2020OpinionDigest: A Simple Framework for Opinion Summarizationcited by 37
  9. 2020Unsupervised Opinion Summarization with Content Planningcited by 27
  10. 2021Factorising Meaning and Form for Intent-Preserving Paraphrasingcited by 22
  11. 2021Convex Aggregation for Opinion Summarizationcited by 21
  12. 2019Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Rankingcited by 11
  13. 2019Weakly-Supervised Opinion Summarization by Leveraging External Informationcited by 11
  14. 2020Improving Language Generation with Sentence Coherence Objectivecited by 5
  15. 2020Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decodercited by 4

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Citing papers per year: 2022: 2; 2023: 5; 2024: 7; 2025: 3.

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  1. 2023Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluationcited by 14
  2. 2024Hierarchical Indexing for Retrieval-Augmented Opinion Summarizationcited by 7
  3. 2023Attributable and Scalable Opinion Summarizationcited by 6
  4. 2022Unsupervised Opinion Summarization Using Approximate Geodesicscited by 5
  5. 2024Incremental Extractive Opinion Summarization Using Cover Treescited by 4
  6. 2022Noisy Pairing and Partial Supervision for Stylized Opinion Summarizationcited by 3
  7. 2024Rationale-based Opinion Summarizationcited by 3
  8. 2025Decomposed Opinion Summarization with Verified Aspect-Aware Modulescited by 3
  9. 2025From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profilingcited by 3
  10. 2025OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviewscited by 3
  11. 2023Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarizationcited by 2
  12. 2024Polarity Calibration for Opinion Summarizationcited by 2
5 more
  1. 2024Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMMcited by 1
  2. 2024LFOSum: Summarizing Long-form Opinions with Large Language Modelscited by 1
  3. 2024Coverage-based Fairness in Multi-document Summarizationcited by 1
  4. 2023Cone: Unsupervised Contrastive Opinion Extractioncited by 0
  5. 2023Recent Trends in Unsupervised Summarizationcited by 0