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Sentiment Classification research benchmarks – Page 10 · SOTA2 Research

Sentiment Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Modified ResNet50 Features with Gradient Boosting

86Accuracy

1

Jun 11, 2026

Modified ResNet50 Features with Gradient Boosting

98Accuracy

1

Jun 11, 2026

CNN with Affective Regions

76.01Accuracy

1

Jun 11, 2026

EfficientNet-B7

73.8Accuracy

1

Jun 11, 2026

BI-LSTM with Feature Fusion

60.86Accuracy

1

Jun 11, 2026

Rotten Tomatoes MR

0.799AUC

1

Jun 2, 2026

Twitter SemEval 2017

0.927AUC

1

Jun 2, 2026

93.8AUC

1

Jun 2, 2026

0.857AUC

1

Jun 2, 2026

PRDECT-ID (20% held-out split)

TF-IDF + Best AutoML

95.74Accuracy

1

Apr 28, 2026

poultry sentiment dataset

89.87Precision

1

Mar 12, 2026

Large-scale textual data from poultry production systems

97.35Accuracy

1

Mar 12, 2026

RETWEET Final Classifier

0.617Accuracy

1

Feb 26, 2026

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