Text Sentiment Analyzer

Overview

Text Sentiment Analyzer is a machine learning project that predicts the sentiment of a given text. It utilizes a Naive Bayes classifier trained on the Sentiment140 dataset to classify text as either positive or negative.

Table of Contents

• Overview
• Features
• Contributing
• License
• Live Demo

Features

• Sentiment Analysis: Analyze the sentiment of text using a trained Naive Bayes model.
• Web Interface: Easy-to-use web interface built with Next.js and Tailwind CSS.
• Pre-trained Model: Includes pre-trained model and vectorizer for quick setup.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any changes.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Live Demo

Check out the live demo here.