mlsanityData to 7 Oct 2026

OpinionDigest: A Simple Framework for Opinion Summarization

arXiv 2005.01901 ↗First posted 5 May 2020cs.CLcited by 37

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Abstract (arXiv)

We present OpinionDigest, an abstractive opinion summarization framework, which does not rely on gold-standard summaries for training. The framework uses an Aspect-based Sentiment Analysis model to extract opinion phrases from reviews, and trains a Transformer model to reconstruct the original reviews from these extractions. At summarization time, we merge extractions from multiple reviews and select the most popular ones. The selected opinions are used as input to the trained Transformer model, which verbalizes them into an opinion summary. OpinionDigest can also generate customized summaries, tailored to specific user needs, by filtering the selected opinions according to their aspect and/or sentiment. Automatic evaluation on Yelp data shows that our framework outperforms competitive baselines. Human studies on two corpora verify that OpinionDigest produces informative summaries and shows promising customization capabilities.

Key facts. Cited by 37 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 May 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 7; 2023: 8; 2024: 9; 2025: 4; 2026: 2.

37 papers.

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  1. 2022Fine-tuning language models to find agreement among humans with diverse preferencescited by 189
  2. 2021Learning Opinion Summarizers by Selecting Informative Reviewscited by 25
  3. 2021Convex Aggregation for Opinion Summarizationcited by 21
  4. 2021Every Bite Is an Experience: Key Point Analysis of Business Reviewscited by 19
  5. 2021Comparative Opinion Summarization via Collaborative Decodingcited by 18
  6. 2023Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Surveycited by 18
  7. 2022Unsupervised Extractive Opinion Summarization Using Sparse Codingcited by 17
  8. 2022Efficient Few-Shot Fine-Tuning for Opinion Summarizationcited by 16
  9. 2023Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluationcited by 14
  10. 2023OpinSummEval: Revisiting Automated Evaluation for Opinion Summarizationcited by 13
  11. 2021DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generationcited by 11
  12. 2023Product Question Answering in E-Commerce: A Surveycited by 10
25 more
  1. 2022Beyond Opinion Mining: Summarizing Opinions of Customer Reviewscited by 9
  2. 2024An Empirical Analysis of Diversity in Argument Summarizationcited by 9
  3. 2024GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviewscited by 6
  4. 2024Aligning Large Language Models with Diverse Political Viewpointscited by 6
  5. 2024Prompted Aspect Key Point Analysis for Quantitative Review Summarizationcited by 6
  6. 2022Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Postscited by 5
  7. 2023Self-Agreement: A Framework for Fine-tuning Language Models to Find Agreement among Diverse Opinionscited by 4
  8. 2022Noisy Pairing and Partial Supervision for Stylized Opinion Summarizationcited by 3
  9. 2024Rationale-based Opinion Summarizationcited by 3
  10. 2024Summarization of Opinionated Political Documents with Varied Perspectivescited by 3
  11. 2025OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviewscited by 3
  12. 2024Polarity Calibration for Opinion Summarizationcited by 2
  13. 2021Fine-Grained Opinion Summarization with Minimal Supervisioncited by 1
  14. 2023Automatically Evaluating Opinion Prevalence in Opinion Summarizationcited by 1
  15. 2024LFOSum: Summarizing Long-form Opinions with Large Language Modelscited by 1
  16. 2025The Variance Paradox: How AI Reduces Diversity but Increases Noveltycited by 1
  17. 2026Faithful Summarisation under Disagreement via Belief-Level Aggregationcited by 1
  18. 2021Abstractive Opinion Taggingcited by 0
  19. 2022Comparative Snippet Generationcited by 0
  20. 2023Recent Trends in Unsupervised Summarizationcited by 0
  21. 2023EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extractioncited by 0
  22. 2024AspirinSum: an Aspect-based utility-preserved de-identification Summarization frameworkcited by 0
  23. 2025QQSUM: A Novel Task and Model of Quantitative Query-Focused Summarization for Review-based Product Question Answeringcited by 0
  24. 2025LLMs as Architects and Critics for Multi-Source Opinion Summarizationcited by 0
  25. 2026MOSAIC: Modular Opinion Summarization using Aspect Identification and Clusteringcited by 0