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license: apache-2.0 |
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datasets: |
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- tweet_eval |
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language: |
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- en |
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metrics: |
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- accuracy |
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- f1 |
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pipeline_tag: text-classification |
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widget: |
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- text: Yay! |
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example_title: Joy Example |
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- text: There is no meaning in life. |
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example_title: Sadness Example |
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- text: I hate you! |
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example_title: Anger Example |
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--- |
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Hello, I'm **Wesley**, nice to meet you! 👋 |
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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! |
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Here I created a **Multiclass Text Classifier** that classifies tweets as either having **JOY, SADNESS, or ANGER**. |
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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). |
