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Papers Benchmarks Datasets Tasks

Emotion Detection research benchmarks · SOTA2 Research

Emotion Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

EmoryNLP (test)

0.461Weighted-F1

96

Feb 26, 2026

DailyDialog (test)

0.603Micro-F1

53

Feb 26, 2026

0.699Weighted-F1

32

Feb 26, 2026

EmoMoham v1 (test)

81.96Macro F1 Score

14

Feb 26, 2026

K-Means + Feedback-ICL

66.96Accuracy

11

Feb 26, 2026

SBERT + Feedback-ICL

78.37Accuracy

11

Feb 26, 2026

BM25 + Feedback-ICL

62.88F1 Score

11

Feb 26, 2026

K-Means + Feedback-ICL

53.72F1 Score

11

Feb 26, 2026

74.13Weighted-F1 Score

8

Feb 26, 2026

SemEval-2019 Task 3 (test)

0.738F1 (happy)

8

Feb 26, 2026

CLB-HBB-Bai-Rel-DDEP

80.73Accuracy

6

Apr 21, 2026

GoEmotions (test)

RoBERTa-LexEnhance

55.18F1 (macro)

6

Mar 24, 2026

59.3DSG Macro F1

4

Feb 26, 2026

SemEval Task 3 2019 (dev)

74.6Happy Macro F1

4

Feb 26, 2026

SOTA baseline (BERT)

90F1 (macro)

3

Mar 24, 2026

SongSage lyric-centric evaluation set

35.7Accuracy

3

Feb 26, 2026

Empirical Routing

54Winrate

1

Jun 23, 2026

Empirical Routing

42Winrate

1

Jun 23, 2026

Popular datasets

MELD SemEval EmoC TwEmo DailyDialog

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