diff --git a/README.md b/README.md index bf2513a..995056b 100644 --- a/README.md +++ b/README.md @@ -18,13 +18,13 @@ widget: With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets (see Appendix) and predicts Ekman's 6 basic emotions, plus a neutral class: -1) anger -2) disgust -3) fear -4) joy -5) neutral -6) sadness -7) surprise +1) anger 🤬 +2) disgust 🤢 +3) fear 😨 +4) joy 😀 +5) neutral 😐 +6) sadness 😭 +7) surprise 😲 The model is a fine-tuned checkpoint of DistilRoBERTa-base.