mlsanityData to 7 Oct 2026

PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis

arXiv 2208.01368 ↗First posted 2 Aug 2022cs.CLcited by 4

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Abstract (arXiv)

The advancement of aspect-based sentiment analysis (ABSA) has urged the lack of a user-friendly framework that can largely lower the difficulty of reproducing state-of-the-art ABSA performance, especially for beginners. To meet the demand, we present our, a modularized framework built on PyTorch for reproducible ABSA. To facilitate ABSA research, PyABSA supports several ABSA subtasks, including aspect term extraction, aspect sentiment classification, and end-to-end aspect-based sentiment analysis. Concretely, PyABSA integrates 29 models and 26 datasets. With just a few lines of code, the result of a model on a specific dataset can be reproduced. With a modularized design, PyABSA can also be flexibly extended to considered models, datasets, and other related tasks. Besides, PyABSA highlights its data augmentation and annotation features, which significantly address data scarcity. All are welcome to have a try at urlhttps://github.com/yangheng95/PyABSA.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 23 of its 59 references that are in the map. First posted on arXiv 2 Aug 2022.

Builds on

23 of 59 references.

References · 23

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2017Interactive Attention Networks for Aspect-Level Sentiment Classificationcited by 91
  3. 2015Effective LSTMs for Target-Dependent Sentiment Classificationcited by 82
  4. 2016Aspect Level Sentiment Classification with Deep Memory Networkcited by 82
  5. 2019Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networkscited by 62
  6. 2018Transformation Networks for Target-Oriented Sentiment Classificationcited by 47
  7. 2018Double Embeddings and CNN-based Sequence Labeling for Aspect Extractioncited by 42
  8. 2021Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTacited by 41
  9. 2019Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networkscited by 39
  10. 2018Aspect Term Extraction with History Attention and Selective Transformationcited by 37
  11. 2021Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Trainingcited by 37
  12. 2016Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysiscited by 35
11 more
  1. 2020A Multi-task Learning Framework for Opinion Triplet Extractioncited by 25
  2. 2018Aspect Level Sentiment Classification with Attention-over-Attention Neural Networkscited by 24
  3. 2020Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysiscited by 23
  4. 2019A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extractioncited by 18
  5. 2019Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Networkcited by 14
  6. 2019Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classificationcited by 13
  7. 2016Unsupervised Word and Dependency Path Embeddings for Aspect Term Extractioncited by 11
  8. 2021Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extractioncited by 11
  9. 2021Exploiting Position Bias for Robust Aspect Sentiment Classificationcited by 9
  10. 2021Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wildcited by 7
  11. 2020Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embeddingcited by 1

Built on by

Cited by year

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

4 papers.

  1. 2023Measuring Sentiment Bias in Machine Translationcited by 5
  2. 2025EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Taskscited by 5
  3. 2024Aspect-Based Sentiment Analysis Techniques: A Comparative Studycited by 3
  4. 2023Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment about ChatGPTcited by 1