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The aim of this project is to identify wide range of emotional expressions that present in tweet texts.

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Tweet-Emotion-Recognition

The aim of this project is to identify wide range of emotions. It has the ability to identify emotions like Surprise, Fear, Joy, Anger, Sadness, and Love. The model can effectively analyze and classify emotional expressions present in tweet texts.

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Dataset

The dataset has thousands of tweets, each classified in one of six emotions.

Getting Started

  1. Create a virtual environment
python3 -m venv venv
source venv/bin/activate
  1. Clone the repository to your local machine
git clone https://github.com/ldebele/Tweet-Emotion-Recognition.git
cd Tweet-Emotion-Recognition
  1. Install the required dependencies
pip3 install -r requirements.txt
  1. Run the web app
streamlit run './src/app.py'

Author

  • Lemi Debele

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The aim of this project is to identify wide range of emotional expressions that present in tweet texts.

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