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ResearchFormerly WizWand

Aspect-based Sentiment Analysis on Laptop dataset

86.08AccuracyGHI
67.41272.258577.10581.9515Jun 11, 2019Aug 6, 2020Oct 3, 2021Nov 30, 2022Jan 26, 2024Mar 24, 2025May 21, 2026
Updated 5mo ago

Evaluation results

MethodLinks
GHIEncoder=DeBERTa2026.0586.0883.74
SARLEncoder=RoBERTa2026.0585.4282.97
AGCLEncoder=DeBERTa-Large2026.0584.5482.15
PWCNEncoder=RoBERTa2026.0584.0181.08
PConvEncoder=RoBERTa2026.0583.5480.89
DAGFEncoder=RoBERTa2026.0583.0780.38
RCLEncoder=DeBERTa2026.0582.7680.28
DAGCNEncoder=BERT2026.0582.5979.4
S2GSLEncoder=BERT2026.0582.4679.07
MLFMEncoder=BERT2026.0582.1279.06
KumaGCNEncoder=BERT2026.0581.9878.81
APARNEncoder=BERT2026.0581.9679.1
DualGCNEncoder=BERT2026.0581.878.1
SDGCN-BERTWord Embedding=BERT2019.0681.3578.34
SDGCN-BERT2019.1281.3578.34
TextGTEncoder=BERT2026.0581.3378.71
dotGCNEncoder=BERT2026.0581.0378.1
SSEGCNEncoder=BERT2026.0581.0177.96
LCF-ATEPC-Fusionmechanism=Fusion2019.1280.9777.86
TGCNEncoder=BERT2026.0580.8877.03
LCF-ATEPC-CDMmechanism=CDM2019.1280.0376.6
LCF-ATEPC-CDWmechanism=CDW2019.1280.0377.17
AEN-BERTWord Embedding=BERT2019.0679.9376.31
AEN-BERT2019.1279.9376.31
DGEDTEncoder=BERT2026.0579.875.6
MWGCNEncoder=BERT2026.0579.7876.68
BERT-SPCinput_format=SPC2019.1279.5675.55
BERT-BASE2019.1279.475.24
SK-GCNEncoder=BERT2026.057975.57
R-GATEncoder=BERT2026.0578.2174.07
BERT-PT2019.1278.0775.08
SDGCN-GWord Embedding=GloVe2019.0675.5571.35
SDGCN-AWord Embedding=GloVe2019.0675.3970.04
RANWord Embedding=GloVe2019.0674.4971.35
PBANWord Embedding=GloVe2019.0674.12—
SDGCN-G w/o pWord Embedding=GloVe2019.0673.6768.7
AENWord Embedding=GloVe2019.0673.5169.04
SDGCN-A w/o pWord Embedding=GloVe2019.0673.268.54
TSNWord Embedding=GloVe2019.0673.1—
IANWord Embedding=GloVe2019.0672.1—
MenNetWord Embedding=GloVe2019.0670.3364.09
ATAE-LSTMWord Embedding=GloVe2019.0668.7—
TD-LSTMWord Embedding=GloVe2019.0668.13—