mlsanityData to 7 Oct 2026

Survey of Aspect-based Sentiment Analysis Datasets

arXiv 2204.05232 ↗First posted 11 Apr 2022cs.CL cs.AIcited by 3

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Abstract (arXiv)

Aspect-based sentiment analysis (ABSA) is a natural language processing problem that requires analyzing user-generated reviews to determine: a) The target entity being reviewed, b) The high-level aspect to which it belongs, and c) The sentiment expressed toward the targets and the aspects. Numerous yet scattered corpora for ABSA make it difficult for researchers to identify corpora best suited for a specific ABSA subtask quickly. This study aims to present a database of corpora that can be used to train and assess autonomous ABSA systems. Additionally, we provide an overview of the major corpora for ABSA and its subtasks and highlight several features that researchers should consider when selecting a corpus. Finally, we discuss the advantages and disadvantages of current collection approaches and make recommendations for future corpora creation. This survey examines 65 publicly available ABSA datasets covering over 25 domains, including 45 English and 20 other languages datasets.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 19 of its 79 references that are in the map. First posted on arXiv 11 Apr 2022.

Builds on

19 of 79 references.

References · 19

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  3. 2016Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filteringcited by 517
  4. 2019Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysiscited by 123
  5. 2021Aspect Sentiment Quad Prediction as Paraphrase Generationcited by 99
  6. 2020LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluationcited by 92
  7. 2020Position-Aware Tagging for Aspect Sentiment Triplet Extractioncited by 90
  8. 2018End-to-End Neural Entity Linkingcited by 85
  9. 2020Extractive Opinion Summarization in Quantized Transformer Spacescited by 76
  10. 2020Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Researchcited by 67
  11. 2022A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challengescited by 61
  12. 2018A Unified Model for Opinion Target Extraction and Target Sentiment Predictioncited by 56
7 more
  1. 2016SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoodscited by 32
  2. 2018Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networkscited by 19
  3. 2021ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Predictioncited by 18
  4. 2022A Survey on Aspect-Based Sentiment Classificationcited by 18
  5. 2019Zero-Shot Cross-Lingual Opinion Target Extractioncited by 11
  6. 2021A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Taskcited by 6
  7. 2021Exploring Conditional Text Generation for Aspect-Based Sentiment Analysiscited by 5

Built on by

Cited by year

Citing papers per year: 2023: 2; 2024: 0; 2025: 1.

3 papers.

  1. 2025EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Taskscited by 5
  2. 2023Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment about ChatGPTcited by 1
  3. 2023From Stars to Insights: Exploration and Implementation of Unified Sentiment Analysis with Distant Supervisioncited by 0