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Cross-Domain Sentiment Analysis on Amazon Reviews (test)

91.74Average AccuracyUDALM
47.914459.292270.6782.0478Apr 2, 2019Aug 3, 2019Dec 5, 2019Apr 7, 2020Aug 9, 2020Dec 11, 2020Apr 14, 2021

Evaluation results

MethodLinks
UDALMBackbone=BERT2021.0491.7490.9791.6993.219192.393.6690.6188.8394.4390.2989.5494.34
DPT BERTBackbone=BERT, Training=Domain Pre-training2021.0490.7890.4990.3892.6691.0291.0392.388.5287.8594.3988.8388.5293.42
p+CFd2021.0490.6387.791.392.591.591.692.588.788.293.689.887.892.6
DAAT2021.0490.1290.988.98889.790.188.889.689.391.790.890.593.2
SO BERTBackbone=BERT, Mode=Source Only2021.0489.9389.5190.5191.7590.2688.7191.2287.9687.3793.388.1587.2393.23
DAT BERTBackbone=BERT, Training=Domain Adversarial2021.0487.6887.3186.9190.5986.387.8589.9585.6583.9992.4585.0784.1192.07
R-PERL2021.0487.587.887.290.285.689.390.490.284.891.28385.691.2
EasyTL2019.0479.579.879.780.979.980.8827575.384.976.576.382.5
EasyTL(c)variant=classifier only2019.0477.878.477.579.279.577.480.47373.184.675.273.882
MDDA2019.0977.8————————————
CORAL2019.0971.6————————————
CORAL2019.0469.171.665.167.370.165.667.167.166.277.668.268.975.4
SA2019.0467.36770.872.267.567.169.461.464.970.464.464.668.2
SA2019.0967————————————
GFK2019.0466.866.465.569.266.363.767.762.463.473.865.56573
JGSA2019.0966.6————————————
GFK2019.0966.4————————————
TCA2019.0465.563.660.964.263.364.269.159.562.174.864.165.474.5
BDA2019.0465.564.262.165.462.466.368.959.261.674.762.764.374
JDA2019.0964.2————————————
TCA2019.0963.6————————————
JGSA2019.0460.566.67572.155.567.365.651.650.85558.356.451.7
1NN2019.0451.349.649.850.353.35153.150.850.951.252.251.252.3
1NN2019.0949.6————————————
Asymmetric Tri-training2017.02—80.779.882.573.27782.573.272.986.972.574.984.6
DANN2017.02—78.473.377.972.375.478.371.173.885.470.97484.3
DANNInput=Original representation2015.11—78.473.377.972.375.478.371.373.885.470.97484.3
VFAE2017.02—79.979.281.675.578.682.272.776.5857273.383.8
VFAE2015.11—79.979.281.675.578.682.272.776.5857273.383.8
VFAEprobing_classifier=Random Forest2015.11—53.554.153.753.753.854.356.255.653.65656.153.3
VFAEprobing_classifier=Logistic Regression2015.11—56.456.258.356.356.658.95958.65759.359.956.5