Ekmanclassifier

🚀 Ekman Emotions Classifier

A text classification model leveraging BERT to classify text into six basic Ekman emotions, trained on the go_emotions dataset.

🚀 Quick Start

The model is designed to classify text into the six basic Ekman emotions. These emotions, identified by psychologist Paul Ekman, are considered universal across cultures and are expressed through distinct facial expressions.

✨ Features

• Universal Emotion Classification: Classifies text into six fundamental emotions (Happiness, Sadness, Anger, Fear, Disgust, Surprise) recognized globally.
• Powered by BERT: Utilizes the BERT architecture for accurate text understanding and classification.
• Trained on go_emotions: Trained on the go_emotions dataset, ensuring robustness and reliability.

💻 Usage Examples

Basic Usage

from transformers import pipeline

ekman = pipeline('sentiment-analysis', model='arpanghoshal/EkmanClassifier')

ekman_labels = ekman("Thanks for using it.")

print(ekman_labels)

📄 License

This project is licensed under the MIT license.

🔗 Links

• linkedin.com/in/arpanghoshal