diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ widget:
 
 ---
 
-## Description
+## Description ℹ
 
 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:
 
@@ -28,7 +28,7 @@ With this model, you can classify emotions in English text data. The model was t
 
 The model is a fine-tuned checkpoint of DistilRoBERTa-base.
 
-## Application
+## Application 🚀
 
 a) Run emotion model with 3 lines of code on single text example using Hugging Face's pipeline command on Google Colab:
 
@@ -38,13 +38,13 @@ b) Run emotion model on multiple examples and full datasets (e.g., .csv files) o
 
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/j-hartmann/emotion-english-distilroberta-base/blob/main/emotion_prediction_example.ipynb)
 
-## Contact
+## Contact 💻
 
 Please reach out to jochen.hartmann@uni-hamburg.de if you have any questions or feedback.
 
 Thanks to Samuel Domdey and chrsiebert for their support in making this model available.
 
-## Appendix
+## Appendix 📚
 
 Please find an overview of the datasets used for training below. All datasets contain English text. The table summarizes which emotions are available in each of the datasets.