Detect the emotion
behind any text

Choose a model type, enter your text, and let AI decode the feeling

Logistic Regression SVM Random Forest Gradient Boosting Naive Bayes KNN
LSTM
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Running Logistic Regression...
😄
Joy
Confidence: 94.2%
Logistic Regression

Try a sample

I am so happy to see you! I feel heartbroken and can't stop crying. This is absolutely outrageous! I'm terrified about tomorrow. Oh wow, I never expected that! You mean the world to me. I feel so alone and lost. He is really sweet and caring.

Model Dashboard

Compare ML classifiers vs Deep LSTM on dair-ai/emotion dataset

Best Test Acc
89.2%
SVM (LinearSVC)
Best F1
0.891
weighted avg
Models Trained
6
classifiers
Features
30K
TF-IDF (1-2 gram)
ML Models — Test Accuracy
ML Models — F1 Weighted
ML Classification Report (Best: SVM)
EmotionPrecisionRecallF1Support