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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 1–10 of 23 papers

TitleStatusHype
From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models—0
Boundary-Driven Table-Filling with Cross-Granularity Contrastive Learning for Aspect Sentiment Triplet Extraction—0
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions—0
RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis—0
AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware EntitiesCode0
Chinese Financial Text Emotion Mining: GCGTS -- A Character Relationship-based Approach for Simultaneous Aspect-Opinion Pair Extraction—0
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple PredictionCode1
A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet ExtractionCode0
Progressive Self-Training with Discriminator for Aspect Term Extraction—0
Aspect-Sentiment-Multiple-Opinion Triplet ExtractionCode0
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