metadata
license: apache-2.0
datasets:
- tweet_eval
language:
- en
metrics:
- accuracy
- f1
pipeline_tag: text-classification
widget:
- text: Yay!
example_title: Joy Example
- text: There is no meaning in life.
example_title: Sadness Example
- text: I hate you!
example_title: Anger Example
Created the model here in my Kaggle.
Hello, I'm Wesley, nice to meet you! 👋
While I was making my 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 and BERT to do Transfer Learning with PyTorch and HuggingFace.