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 1–25 of 92 papers

TitleStatusHype
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge GraphsCode4
InstructABSA: Instruction Learning for Aspect Based Sentiment AnalysisCode1
Automatic Controllable Product Copywriting for E-CommerceCode1
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect ExtractionCode1
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect ExtractionCode1
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain ReviewsCode1
Joint Aspect Extraction and Sentiment Analysis with Directional Graph Convolutional NetworksCode1
Improving BERT Performance for Aspect-Based Sentiment AnalysisCode1
Automated Concatenation of Embeddings for Structured PredictionCode1
Modelling Context and Syntactical Features for Aspect-based Sentiment AnalysisCode1
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural NetworksCode1
Structure-Level Knowledge Distillation For Multilingual Sequence LabelingCode1
Adversarial Training for Aspect-Based Sentiment Analysis with BERTCode1
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment AnalysisCode1
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment AnalysisCode1
Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extractionCode1
PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore—0
From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models—0
An Aspect Extraction Framework using Different Embedding Types, Learning Models, and Dependency StructureCode0
Visual Zero-Shot E-Commerce Product Attribute Value Extraction—0
Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models—0
Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews—0
SEOpinion: Summarization and Exploration Opinion of E-Commerce Websites—0
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble ApproachesCode0
Automatic Aspect Extraction from Scientific TextsCode0
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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