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Sentiment Classification research benchmarks – Page 5 · SOTA2 Research

Sentiment Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

74Accuracy

9

Mar 18, 2026

71.61Recall

9

Feb 26, 2026

SST-5 60% symmetric noise BERT-Large (test)

53.5Peak Accuracy

9

Feb 26, 2026

SST-5 40% symmetric noise BERT-Large (test)

53.1Accuracy (Peak)

9

Feb 26, 2026

SST-5 Clean BERT-Large (test)

55.5Accuracy

9

Feb 26, 2026

UIT-VSFC (test)

94.16Accuracy

9

Jul 3, 2026

90.38Accuracy

9

Feb 26, 2026

Blitzer 2006 (test)

84.4A to B Accuracy

9

Feb 26, 2026

88.3Accuracy

9

Feb 27, 2026

IMDB Sample Imbalance 50:1 (test)

65Accuracy

9

Feb 26, 2026

IMDB Sample Imbalance 10:1 (test)

80.6Accuracy

9

Feb 26, 2026

IMDB Label Noise r=0.4 (test)

86.4Accuracy

9

Feb 26, 2026

IMDB Label Noise r=0.2 (test)

88.7Accuracy

9

Feb 26, 2026

IMDB Label Noise r=0.0 (test)

89.1Accuracy

9

Feb 26, 2026

55.5Accuracy

9

Feb 26, 2026

Amazon Full (test)

36.4Test Error

9

Feb 26, 2026

48.7Accuracy

9

Feb 26, 2026

73.42Accuracy

8

Jun 19, 2026

23.8Generalization Gap

8

May 6, 2026

0.017Generalization Gap (Δ)

8

May 6, 2026

1.9Generalization Gap (Δ)

8

May 6, 2026

1.3Generalization Gap (Δ)

8

May 6, 2026

62.45Accuracy (Books)

8

Apr 21, 2026

54.710th Percentile Accuracy

8

Apr 21, 2026

Bangla Sentiment dataset

25.67FairScore

8

Apr 13, 2026

Page 5 of 10

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IMDB SST Yelp Amazon Amazon Review

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