Sentiment Analysis Web Application

Developed using Natural Language Processing (NLP) techniques and a BERT-based model. An API is served with Django REST Framework on the backend, while the frontend is dynamically designed with React. The model successfully classifies the emotional tone of texts with a 92% accuracy rate.