AI Sentiment Analyzer
Project Overview
A machine learning-based sentiment analysis system that processes text data to determine emotional tone and sentiment, with support for multiple languages and real-time analysis.
Technologies Used
Key Tasks & Achievements
A machine learning-based sentiment analysis system that processes text data to determine emotional tone and sentiment, with support for multiple languages and real-time analysis. This sophisticated system leverages state-of-the-art natural language processing techniques to provide accurate sentiment analysis across various use cases.
The project implements advanced machine learning concepts using TensorFlow and BERT models, containerized with Docker for easy deployment and scaling. The FastAPI backend ensures high-performance API endpoints for real-time analysis.
Key features include:
- Multi-language sentiment analysis
- Real-time processing capabilities
- Comprehensive performance monitoring
- Scalable API architecture
- Interactive dashboard for result visualization
- Detailed analytics and reporting system