Aspect-Based Sentiment Analysis (ABSA)

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

18 leaderboard tables shown for this task, 18 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 18 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

20 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

8 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 185 papers with code (469 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Effective LSTMs for Target-Dependent Sentiment Classification
  3 Dec 2015 10 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Target-dependent sentiment classification remains a challenge: modeling the semantic relatedness of a target with its context words in a sentence.
• Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence
  22 Mar 2019 8 repositories listed Syntology ran 8 of 27 samples · 19 unverified · 4 pointer-only (licence)
  Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA).
• Attention-based LSTM for Aspect-level Sentiment Classification
  1 Nov 2016 8 repositories listed
• Aspect Level Sentiment Classification with Deep Memory Network
  28 May 2016 8 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  Such importance degree and text representation are calculated with multiple computational layers, each of which is a neural attention model over an external memory.
• A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
  17 Dec 2019 6 repositories listed
  Aspect-based sentiment analysis (ABSA) task is a multi-grained task of natural language processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity classification (APC).
• Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
  5 Nov 2019 6 repositories listed
  In this paper, we introduce a new subtask under ABSA, named aspect sentiment triplet extraction (ASTE).
• Attentional Encoder Network for Targeted Sentiment Classification
  25 Feb 2019 5 repositories listed
  Most of the previous approaches model context and target words with RNN and attention.
• Interactive Attention Networks for Aspect-Level Sentiment Classification
  4 Sep 2017 5 repositories listed
  In this paper, we argue that both targets and contexts deserve special treatment and need to be learned their own representations via interactive learning.
• Adversarial Training for Aspect-Based Sentiment Analysis with BERT
  30 Jan 2020 4 repositories listed
  In this work, we apply adversarial training, which was put forward by Goodfellow et al.
• A Unified Generative Framework for Aspect-Based Sentiment Analysis
  8 Jun 2021 3 repositories listed
  Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms.
• A Multi-task Learning Framework for Opinion Triplet Extraction
  4 Oct 2020 3 repositories listed
  The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches are mainly based on either detecting aspect terms and their corresponding sentiment polarities, or co-extracting aspect and opinion terms.
• A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis
  4 Apr 2020 3 repositories listed
  The aspect-based sentiment analysis (ABSA) task remains to be a long-standing challenge, which aims to extract the aspect term and then identify its sentiment orientation.
• Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach
  22 Mar 2020 3 repositories listed
  Existing aspect based sentiment analysis (ABSA) approaches leverage various neural network models to extract the aspect sentiments via learning aspect-specific feature representations.
• Generalizing Natural Language Analysis through Span-relation Representations
  10 Nov 2019 3 repositories listed
  Natural language processing covers a wide variety of tasks predicting syntax, semantics, and information content, and usually each type of output is generated with specially designed architectures.
• Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification
  30 Aug 2019 3 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Aspect-Target Sentiment Classification (ATSC) is a subtask of Aspect-Based Sentiment Analysis (ABSA), which has many applications e.
• An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
  17 Jun 2019 3 repositories listed
  Aspect-based sentiment analysis produces a list of aspect terms and their corresponding sentiments for a natural language sentence.
• Recurrent Attention Network on Memory for Aspect Sentiment Analysis
  1 Sep 2017 3 repositories listed
  We propose a novel framework based on neural networks to identify the sentiment of opinion targets in a comment/review.
• An Unsupervised Neural Attention Model for Aspect Extraction
  1 Jul 2017 3 repositories listed
  Unlike topic models which typically assume independently generated words, word embedding models encourage words that appear in similar contexts to be located close to each other in the embedding space.
• KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus Filtering
  29 Jun 2024 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Investigations into Aspect-Based Sentiment Analysis (ABSA) for Korean industrial reviews are notably lacking in the existing literature.
• OATS: Opinion Aspect Target Sentiment Quadruple Extraction Dataset for Aspect-Based Sentiment Analysis
  23 Sep 2023 2 repositories listed
  Aspect-based sentiment analysis (ABSA) delves into understanding sentiments specific to distinct elements within a user-generated review.
• UniSA: Unified Generative Framework for Sentiment Analysis
  4 Sep 2023 2 repositories listed Syntology ran 6 of 8 samples · 2 unverified
  Sentiment analysis is a crucial task that aims to understand people's emotional states and predict emotional categories based on multimodal information.
• PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis
  2 Aug 2022 2 repositories listed
  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.
• Unified Structure Generation for Universal Information Extraction
  23 Mar 2022 2 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  Information extraction suffers from its varying targets, heterogeneous structures, and demand-specific schemas.
• A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviews
  17 Jan 2022 2 repositories listed
  The results indicate that this new approach increases the efficiency of the sentiment analysis model in the Persian language.
• AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations
  26 Aug 2021 2 repositories listed
  We propose AR-BERT, a novel two-level global-local entity embedding scheme that allows efficient joint training of KG-based aspect embeddings and ALSC models.
• Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
  26 Jul 2021 2 repositories listed
  Aspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs triplets of an aspect target, its associated sentiment, and the corresponding opinion term.
• Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble
  1 Jun 2021 2 repositories listed
  It is popular that neural graph-based models are applied in existing aspect-based sentiment analysis (ABSA) studies for utilizing word relations through dependency parses to facilitate the task with better semantic…
• Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
  31 Oct 2020 2 repositories listed
  Most features in the representation of an aspect are dedicated to the fine-grained semantics of the domain (or product category) and the aspect itself, instead of carrying summarized opinions from its context.
• Improving BERT Performance for Aspect-Based Sentiment Analysis
  22 Oct 2020 2 repositories listed Syntology ran 5 of 11 samples · 6 unverified
  Aspect-Based Sentiment Analysis (ABSA) studies the consumer opinion on the market products.
• Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding
  2 Oct 2020 2 repositories listed
  Target-oriented sentiment classification is a fine-grained task of natural language processing to analyze the sentiment polarity of the targets.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.