Papers Aspect-Based Sentiment Analysis
“Aspect-Based Sentiment Analysis” 태그가 달린 논문 429편 · 필터 해제
AdaptiSent: Context-Aware Adaptive Attention for Multimodal Aspect-Based Sentiment Analysis
We introduce AdaptiSent, a new framework for Multimodal Aspect-Based Sentiment Analysis (MABSA) that uses adaptive cross-modal attention mechanisms to improve sentiment classification and aspect term extraction from both…
Aspect-Based Sentiment AnalysisSentiment AnalysisSentiment ClassificationTerm ExtractionMulti-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison
Aspect-Based Sentiment Analysis (ABSA) offers granular insights into opinions but often suffers from the scarcity of diverse, labeled datasets that reflect real-world conversational nuances. This paper presents an approa…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Dataset GenerationSentiment Analysis+2CrosGrpsABS: Cross-Attention over Syntactic and Semantic Graphs for Aspect-Based Sentiment Analysis in a Low-Resource Language
Aspect-Based Sentiment Analysis (ABSA) is a fundamental task in natural language processing, offering fine-grained insights into opinions expressed in text. While existing research has largely focused on resource-rich la…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Dependency ParsingSemantic Similarity+3Enhanced Multimodal Aspect-Based Sentiment Analysis by LLM-Generated Rationales
There has been growing interest in Multimodal Aspect-Based Sentiment Analysis (MABSA) in recent years. Existing methods predominantly rely on pre-trained small language models (SLMs) to collect information related to asp…
Aspect-Based Sentiment AnalysisSentiment AnalysisMulti-domain Multilingual Sentiment Analysis in Industry: Predicting Aspect-based Opinion Quadruples
This paper explores the design of an aspect-based sentiment analysis system using large language models (LLMs) for real-world use. We focus on quadruple opinion extraction -- identifying aspect categories, sentiment pola…
Aspect-Based Sentiment AnalysisSentiment AnalysisStructured PredictionEnhancing Multilingual Sentiment Analysis with Explainability for Sinhala, English, and Code-Mixed Content
Sentiment analysis is crucial for brand reputation management in the banking sector, where customer feedback spans English, Sinhala, Singlish, and code-mixed text. Existing models struggle with low-resource languages lik…
Aspect-Based Sentiment AnalysisSentiment AnalysisDependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis
Multimodal Aspect-Based Sentiment Analysis (MABSA) seeks to extract fine-grained information from image-text pairs to identify aspect terms and determine their sentiment polarity. However, existing approaches often fall …
Aspect-Based Sentiment AnalysisDependency ParsingImage-text matchingSentiment Analysis+1From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models
This study examines the performance of Large Language Models (LLMs) in Aspect-Based Sentiment Analysis (ABSA), with a focus on implicit aspect extraction in a novel domain. Using a synthetic sports feedback dataset, we e…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect ExtractionExtract Aspect+1An Aspect Extraction Framework using Different Embedding Types, Learning Models, and Dependency Structure
Aspect-based sentiment analysis has gained significant attention in recent years due to its ability to provide fine-grained insights for sentiment expressions related to specific features of entities. An important compon…
Aspect-Based Sentiment AnalysisAspect ExtractionDependency ParsingSentiment AnalysisMulti-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is a sequence labeling task that has garnered growing research interest in multilingual contexts. However, recent studies lack more robust feature alignment and finer aspect-level a…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)SentenceSentiment AnalysisM-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is a crucial task in information extraction and sentiment analysis, aiming to identify aspects with associated sentiment elements in text. However, existing ABSA datasets are predom…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Language Model EvaluationLanguage Modeling+5STAR: Stepwise Task Augmentation and Relation Learning for Aspect Sentiment Quad Prediction
Aspect-based sentiment analysis (ABSA) aims to identify four sentiment elements, including aspect term, aspect category, opinion term, and sentiment polarity. These elements construct the complete picture of sentiments. …
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)PredictionRelation+1Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis
Aspect-based Sentiment Analysis (ABSA) is the task aimed at predicting the sentiment polarity of aspect words within sentences. Recently, incorporating graph neural networks (GNNs) to capture additional syntactic structu…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Dependency ParsingSentiment AnalysisLearning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models
Aspect-based sentiment analysis (ASBA) is a refined approach to sentiment analysis that aims to extract and classify sentiments based on specific aspects or features of a product, service, or entity. Unlike traditional s…
Aspect-Based Sentiment AnalysisAspect ExtractionSentiment AnalysisSentiment ClassificationDisSim-FinBERT: Text Simplification for Core Message Extraction in Complex Financial Texts
This study proposes DisSim-FinBERT, a novel framework that integrates Discourse Simplification (DisSim) with Aspect-Based Sentiment Analysis (ABSA) to enhance sentiment prediction in complex financial texts. By simplifyi…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Sentiment AnalysisText SimplificationDS$^2$-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis
Recently developed large language models (LLMs) have presented promising new avenues to address data scarcity in low-resource scenarios. In few-shot aspect-based sentiment analysis (ABSA), previous efforts have explored …
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Data AugmentationIn-Context Learning+1Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models
Aspect-based sentiment analysis (ABSA), a sequence labeling task, has attracted increasing attention in multilingual contexts. While previous research has focused largely on fine-tuning or training models specifically fo…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Sentiment AnalysisA Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis
Multimodal Aspect-Based Sentiment Analysis (MABSA) combines text and images to perform sentiment analysis but often struggles with irrelevant or misleading visual information. Existing methodologies typically address eit…
Aspect-Based Sentiment AnalysisDenoisingImage DenoisingSentence+1A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis
Recently, Large Language Models (LLMs) have garnered increasing attention in the field of natural language processing, revolutionizing numerous downstream tasks with powerful reasoning and generation abilities. For examp…
Aspect-Based Sentiment AnalysisIn-Context LearningMulti-Task Learningparameter-efficient fine-tuning+1Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis
As a fine-grained task, multimodal aspect-based sentiment analysis (MABSA) mainly focuses on identifying aspect-level sentiment information in the text-image pair. However, we observe that it is difficult to recognize th…
Aspect-Based Sentiment AnalysisSentiment Analysis