SOTAVerified

Aspect Extraction

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 26–50 of 92 papers

TitleStatusHype
A Wide Evaluation of ChatGPT on Affective Computing TasksCode0
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations—0
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment—0
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction—0
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach—0
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning—0
Ensemble Creation via Anchored Regularization for Unsupervised Aspect Extraction—0
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment AnalysisCode0
SETSum: Summarization and Visualization of Student Evaluations of TeachingCode0
Distantly Supervised Aspect Clustering And Naming For E-Commerce Reviews—0
Dataset and Baseline for Automatic Student Feedback Analysis—0
Zero-Shot Aspect-Based Sentiment Analysis—0
Hyperbolic Disentangled Representation for Fine-Grained Aspect ExtractionCode0
Aspect Oriented Suggestion Extraction from Online Reviews—0
Improving Aspect Extraction based on Rules through Deep Syntax-Semantics CommunicationCode0
Does local pruning offer task-specific models to learn effectively ?Code0
Polarity in the Classroom: A Case Study Leveraging Peer Sentiment Toward Scalable Assessment—0
Enhancing Aspect Extraction for Hindi—0
Label Correction Model for Aspect-based Sentiment Analysis—0
Aspect Extraction Using Coreference Resolution and Unsupervised Filtering—0
Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis—0
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce—0
Simple Unsupervised Similarity-Based Aspect ExtractionCode0
Don't Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction—0
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification—0
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All datasetsSemEval-2014 Task-4SemEval 2015 Task 12SemEval 2014 Task 4 Sub Task 1SemEval 2016 Task 5 Sub Task 1 Slot 2YASO - YELP

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InstructABSALaptop (F1)92.3—Unverified
2ACELaptop (F1)87.4—Unverified
3PH-SUMLaptop (F1)86.09—Unverified
4BATLaptop (F1)85.57—Unverified
5DE-CNNRestaurant (F1)85.2—Unverified
6Wei et al. (2020)Laptop (F1)82.7—Unverified
#ModelMetricClaimedVerifiedStatus
1ACERestaurant (F1)80.3—Unverified
2Wei et al. (2020)Restaurant (F1)72.7—Unverified
3DE-CNNRestaurant (F1)68.28—Unverified
#ModelMetricClaimedVerifiedStatus
1DE-CNNLaptop (F1)81.59—Unverified
#ModelMetricClaimedVerifiedStatus
1DE-CNNRestaurant (F1)74.37—Unverified
#ModelMetricClaimedVerifiedStatus
1RACL - LaptopsF123—Unverified