Update README.md

README.md

@@ -15,4 +15,12 @@ widget:
     example_title: Sadness Example
   - text: I hate you!
     example_title: Anger Example
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+---
+
+Hello, I'm **Wesley**, nice to meet you! 👋
+
+While I was making my **[Angry Birds Classifier](https://www.kaggle.com/code/wesleyacheng/angry-birds-classifier)** to classify if tweets are angry or not, I thought why don't we add **2** more emotions! **Joy and Sadness** into the mix!
+
+Here I created a **Multiclass Text Classifier** that classifies tweets as either having **JOY, SADNESS, or ANGER**.
+
+I used the [Twitter Emotion Dataset](https://huggingface.co/datasets/tweet_eval/viewer/emotion/train) and [BERT](https://huggingface.co/distilbert-base-uncased) to do [Transfer Learning](https://en.wikipedia.org/wiki/Transfer_learning) with [PyTorch](https://pytorch.org) and [HuggingFace](https://huggingface.co).