Papers with Code 아카이브

Aspect-Based Sentiment Analysis (ABSA)

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 8
평가표: 17
보존된 평가 기록: 139

Aspect-Based Sentiment Analysis (ABSA) is a Natural Language Processing task that aims to identify and extract the sentiment of specific aspects or components of a product or service. ABSA typically involves a multi-step process that begins with identifying the aspects or features of the product or service that are being discussed in the text. This is followed by sentiment analysis, where the sentiment polarity (positive, negative, or neutral) is assigned to each aspect based on the context of the sentence or document. Finally, the results are aggregated to provide an overall sentiment for each aspect.

And recent works propose more challenging ABSA tasks to predict sentiment triplets or quadruplets (Chen et al., 2022), the most influential of which are ASTE (Peng et al., 2020; Zhai et al., 2022), TASD (Wan et al., 2020), ASQP (Zhang et al., 2021a) and ACOS with an emphasis on the implicit aspects or opinions (Cai et al., 2020a).

<span style="color:grey; opacity: 0.6">( Source: MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction )</span>

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Aspect-Based Sentiment Analysis (ABSA)

논문

Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison

CrosGrpsABS: Cross-Attention over Syntactic and Semantic Graphs for Aspect-Based Sentiment Analysis in a Low-Resource Language

PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore

From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models

An Aspect Extraction Framework using Different Embedding Types, Learning Models, and Dependency Structure

Visual Zero-Shot E-Commerce Product Attribute Value Extraction

Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis

Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction

M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis

Boundary-Driven Table-Filling with Cross-Granularity Contrastive Learning for Aspect Sentiment Triplet Extraction

Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis

STAR: Stepwise Task Augmentation and Relation Learning for Aspect Sentiment Quad Prediction

Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models

DisSim-FinBERT: Text Simplification for Core Message Extraction in Complex Financial Texts

DS$^2$-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis

Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models

Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning

PGSO: Prompt-based Generative Sequence Optimization Network for Aspect-based Sentiment Analysis

Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions

Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation

Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis

Enhancing Aspect-based Sentiment Analysis in Tourism Using Large Language Models and Positional Information

ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet Extraction

Exploring ChatGPT-based Augmentation Strategies for Contrastive Aspect-based Sentiment Analysis

Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews

PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis

GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis

Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages

Enhancing Long-Range Dependency with State Space Model and Kolmogorov-Arnold Networks for Aspect-Based Sentiment Analysis

Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation Models

Aspect-Based Sentiment Analysis Techniques: A Comparative Study

RVISA: Reasoning and Verification for Implicit Sentiment Analysis

Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis

KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus Filtering

Dynamic Order Template Prediction for Generative Aspect-Based Sentiment Analysis

S$^2$GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis