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Aspect Category Detection

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–10 of 31 papers

Title	Date	Tasks	Status	Hype
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction	May 22, 2023	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection	Oct 9, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Latent Aspect Detection from Online Unsolicited Customer Reviews	Apr 14, 2022	Aspect Category DetectionHidden Aspect Detection	CodeCode Available	1
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks	Oct 4, 2020	Aspect Category DetectionAspect Category Sentiment Analysis	CodeCode Available	1
Embarrassingly Simple Unsupervised Aspect Extraction	Apr 28, 2020	Aspect Category DetectionPOS	CodeCode Available	1
BUTknot at SemEval-2016 Task 5: Supervised Machine Learning with Term Substitution Approach in Aspect Category Detection	Jun 1, 2016	Aspect-Based Sentiment Analysis (ABSA)Aspect Category Detection	—Unverified	0
Better Queries for Aspect-Category Sentiment Classification	Oct 1, 2020	Aspect Category DetectionAspect Category Sentiment Classification	—Unverified	0
Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network	Dec 1, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation	Nov 19, 2021	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation	Sep 27, 2023	Aspect Category DetectionSentence	—Unverified	0

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All datasets AWARE Citysearch SemEval-2014 Task-4 SemEval 2014 Task 4 Subtask 3

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Baseline	F1-score	0.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CAt	F-measure (%)	86.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	pxp	Average Recall	0.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BERT-pair-NLI-B	F1 score	92.18	—	Unverified