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

Showing 11–20 of 92 papers

TitleStatusHype
Improving BERT Performance for Aspect-Based Sentiment AnalysisCode1
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect ExtractionCode1
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain ReviewsCode1
Automatic Controllable Product Copywriting for E-CommerceCode1
Adversarial Training for Aspect-Based Sentiment Analysis with BERTCode1
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment AnalysisCode1
Hyperbolic Disentangled Representation for Fine-Grained Aspect ExtractionCode0
Double Embeddings and CNN-based Sequence Labeling for Aspect ExtractionCode0
Improving Aspect Extraction based on Rules through Deep Syntax-Semantics CommunicationCode0
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment AnalysisCode0
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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