TextCNN

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio2 results

Emotion RecognitiononCPED
Accuracy of Sentiment· 2014-08-25
48.9
best: 51.5 (BERT+AVG+MLP)
SOTA
Convolutional Neural Networks for Sentence Classification arXiv:1408.5882
Emotion RecognitiononCPED
Macro-F1 of Sentiment· 2014-08-25
34.37
best: 48.02 (BERT+AVG+MLP)
SOTA
Convolutional Neural Networks for Sentence Classification arXiv:1408.5882