Project Overview
A web application that performs sentiment analysis on text input. It uses a Naive Bayes classifier trained on a large corpus of text to predict whether the sentiment is positive, negative, or neutral.
Key Features
- Naive Bayes Classifier: Efficient text classification algorithm.
- Streamlit Interface: User-friendly web interface for real-time analysis.
- Dockerized: Fully containerized for easy deployment and scalability.