SOTAVerified

Aspect Category Detection

Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence.

Papers

Showing 110 of 31 papers

TitleStatusHype
GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis0
Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection0
KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus FilteringCode0
Supervised Gradual Machine Learning for Aspect Category Detection0
FABSA: An aspect-based sentiment analysis dataset of user reviewsCode0
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection0
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation0
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple PredictionCode1
From Stars to Insights: Exploration and Implementation of Unified Sentiment Analysis with Distant SupervisionCode0
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BaselineF1-score0.32Unverified
#ModelMetricClaimedVerifiedStatus
1CAtF-measure (%)86.4Unverified
#ModelMetricClaimedVerifiedStatus
1pxpAverage Recall0.72Unverified
#ModelMetricClaimedVerifiedStatus
1BERT-pair-NLI-BF1 score92.18Unverified