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Extract Aspect

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.

Papers

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Showing 11–20 of 23 papers

TitleStatusHype
Enhancing Aspect Term Extraction with Soft Prototypes—0
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions—0
From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models—0
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews—0
Progressive Self-Training with Discriminator for Aspect Term Extraction—0
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction—0
RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis—0
Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels—0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware EntitiesCode0
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