Sentiment-Analysis-project

Sentiment analysis project using VADER and RoBERTa to classify text into positive, negative, and neutral sentiments.

Sentiment Analysis Project

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.

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🛠 Technologies

• Python
• NLTK (VADER)
• Hugging Face Transformers
• PyTorch
• Scikit-learn

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📂 Project Structure

sentiment-analysis/ ├── data/ ├── notebooks/ ├── src/ ├── models/ ├── requirements.txt └── README.md

Author Fares Elhewy Machine Learning Engineer