Sentiment analysis project using VADER and RoBERTa to classify text into positive, negative, and neutral sentiments.
This project performs sentiment analysis on text data using both:
- VADER (rule-based NLP)
- RoBERTa (transformer-based deep learning model)
The model classifies text into positive, negative, or neutral sentiments.
- Python
- NLTK (VADER)
- Hugging Face Transformers
- PyTorch
- Scikit-learn
sentiment-analysis/ ├── data/ ├── notebooks/ ├── src/ ├── models/ ├── requirements.txt └── README.md
Author Fares Elhewy Machine Learning Engineer