Twitter Emotion Recognition
Sentiment Analysis on Twitter data
Quick Summary
- Performed sentiment analysis on 20K emotion dataset from Hugging Face to identify user emotions for improving personalized content and mental health support services in Python
- Employed oversampling techniques to correct class imbalance and fine-tuned the pre-trained BERT model via data parallelism on a multi-GPU cluster with PyTorch, achieving an average F1 score of 0.91
Project Report
For more detailed project information, please visit the GitHub repo: https://github.com/Marklong7/NLP_emotion_classification