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Aspect Extraction
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Aspect extraction is the task of identifying and extracting terms relevant for opinion mining and sentiment analysis, for example terms for product attributes or features.
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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
Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models
Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews
SEOpinion: Summarization and Exploration Opinion of E-Commerce Websites
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches
Automatic Aspect Extraction from Scientific Texts
A Wide Evaluation of ChatGPT on Affective Computing Tasks
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs
Ensemble Creation via Anchored Regularization for Unsupervised Aspect Extraction
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis
SETSum: Summarization and Visualization of Student Evaluations of Teaching
Automatic Controllable Product Copywriting for E-Commerce
Latent Aspect Detection from Online Unsolicited Customer Reviews
Zero-Shot Aspect-Based Sentiment Analysis
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction
Aspect Oriented Suggestion Extraction from Online Reviews
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction
Polarity in the Classroom: A Case Study Leveraging Peer Sentiment Toward Scalable Assessment
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews
Improving BERT Performance for Aspect-Based Sentiment Analysis
Automated Concatenation of Embeddings for Structured Prediction
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce
Simple Unsupervised Similarity-Based Aspect Extraction
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification
Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer
Unsupervised Neural Aspect Search with Related Terms Extraction
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