SOTAVerified

Aspect Category Detection

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

Papers

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Showing 11–20 of 31 papers

TitleStatusHype
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection—0
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation—0
From Stars to Insights: Exploration and Implementation of Unified Sentiment Analysis with Distant SupervisionCode0
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection—0
A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian ReviewsCode0
AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation—0
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian ReviewsCode0
Multi-Label Few-Shot Learning for Aspect Category Detection—0
Investigating Monolingual and Multilingual BERTModels for Vietnamese Aspect Category Detection—0
Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network—0
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All datasetsAWARECitysearchSemEval-2014 Task-4SemEval 2014 Task 4 Subtask 3

Benchmark Results

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