Papers Aspect Extraction
“Aspect Extraction” 태그가 달린 논문 94편 · 필터 해제
Aspect-Based Sentiment Analysis for Future Tourism Experiences: A BERT-MoE Framework for Persian User Reviews
This study advances aspect-based sentiment analysis (ABSA) for Persian-language user reviews in the tourism domain, addressing challenges of low-resource languages. We propose a hybrid BERT-based model with Top-K routing…
Sentiment AnalysisAspect ExtractionAspect Extraction from E-Commerce Product and Service Reviews
Aspect Extraction (AE) is a key task in Aspect-Based Sentiment Analysis (ABSA), yet it remains difficult to apply in low-resource and code-switched contexts like Taglish, a mix of Tagalog and English commonly used in Fil…
Sentiment AnalysisAspect ExtractionPL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore
Fine-grained sentiment analysis (FGSA) aims to identify sentiment polarity toward specific aspects within a text, enabling more precise opinion mining in domains such as product reviews and social media. However, traditi…
Aspect ExtractionOpinion MiningPrompt LearningSentiment Analysis+2From 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 AnalysisVisual Zero-Shot E-Commerce Product Attribute Value Extraction
Existing zero-shot product attribute value (aspect) extraction approaches in e-Commerce industry rely on uni-modal or multi-modal models, where the sellers are asked to provide detailed textual inputs (product descriptio…
Aspect ExtractionAttributeAttribute Value ExtractionDecoder+1Learning 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 ClassificationInstruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews
Aspect-based Sentiment Analysis (ABSA) is a critical task in Natural Language Processing (NLP) that focuses on extracting sentiments related to specific aspects within a text, offering deep insights into customer opinion…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect ExtractionSentiment Analysis+2SEOpinion: Summarization and Exploration Opinion of E-Commerce Websites
E-Commerce (EC) websites provide a large amount of useful information that exceed human cognitive processing ability. In order to help customers in comparing alternatives when buying a product, previous studies designed …
Aspect ExtractionDescriptiveOpinion SummarizationDeep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches
Aspect-based Sentiment Analysis (ABSA) is a task whose objective is to classify the individual sentiment polarity of all entities, called aspects, in a sentence. The task is composed of two subtasks: Aspect Term Extracti…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Category PolarityAspect Extraction+6Automatic Aspect Extraction from Scientific Texts
Being able to extract from scientific papers their main points, key insights, and other important information, referred to here as aspects, might facilitate the process of conducting a scientific literature review. There…
Aspect ExtractionA Wide Evaluation of ChatGPT on Affective Computing Tasks
With the rise of foundation models, a new artificial intelligence paradigm has emerged, by simply using general purpose foundation models with prompting to solve problems instead of training a separate machine learning m…
Aspect ExtractionSarcasm DetectionSentiment AnalysisPrompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations
Existing aspect extraction methods mostly rely on explicit or ground truth aspect information, or using data mining or machine learning approaches to extract aspects from implicit user feedback such as user reviews. It h…
Aspect ExtractionPrompt LearningA Weak Supervision Approach for Few-Shot Aspect Based Sentiment
We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks. We propose a pipeline approach to construct a noisy ABSA datase…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect ExtractionAspect Sentiment Triplet Extraction+4Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction
Opinion target extraction (OTE) or aspect extraction (AE) is a fundamental task in opinion mining that aims to extract the targets (or aspects) on which opinions have been expressed. Recent work focus on cross-domain OTE…
Aspect ExtractionDomain AdaptationOpinion MiningInstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
We introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment Analysis (ABSA) subtasks. Our method introduces positive, negative, and neutral examples to each training sample, and instruction tun…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect ExtractionSentiment Analysis+2A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach
Opinion mining is the branch of computation that deals with opinions, appraisals, attitudes, and emotions of people and their different aspects. This field has attracted substantial research interest in recent years. Asp…
Aspect ExtractionOpinion MiningTransfer LearningUnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning
Aspect-Based Sentiment Analysis (ABSA) aims to provide fine-grained aspect-level sentiment information. There are many ABSA tasks, and the current dominant paradigm is to train task-specific models for each task. However…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect-Category-Opinion-Sentiment Quadruple ExtractionAspect Extraction+5Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs
The extraction of aspect terms is a critical step in fine-grained sentiment analysis of text. Existing approaches for this task have yielded impressive results when the training and testing data are from the same domain.…
Aspect ExtractionKnowledge GraphsSentiment AnalysisTerm ExtractionEnsemble Creation via Anchored Regularization for Unsupervised Aspect Extraction
Aspect Based Sentiment Analysis is the most granular form of sentiment analysis that can be performed on the documents / sentences. Besides delivering the most insights at a finer grain, it also poses equally daunting ch…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect ExtractionSentiment Analysis