SentiScope 🎯

SentiScope is an advanced sentiment analysis platform that leverages state-of-the-art transformer models to analyze product reviews at scale. Built with a focus on performance and scalability, it provides real-time sentiment insights through a robust REST API.

🌟 Features

• Advanced Sentiment Analysis: Utilizes BERT-based models fine-tuned on product review datasets
• Real-time Processing: Analyze reviews instantly through REST API endpoints
• Model Versioning: Track and manage different versions of ML models
• Performance Monitoring: Built-in monitoring dashboard for model performance metrics
• Scalable Architecture: Containerized deployment ready for cloud platforms
• Comprehensive Analytics: Detailed sentiment breakdowns and confidence scores

🛠️ Tech Stack

• Machine Learning: PyTorch, Transformers (Hugging Face)
• Backend: FastAPI, Python 3.9+
• Database: PostgreSQL
• Monitoring: Prometheus, Grafana
• Containerization: Docker
• CI/CD: GitHub Actions

🚀 Getting Started

Prerequisites

python 3.9+
docker
docker-compose

Installation

1. Clone the repository

git clone https://github.com/yourusername/sentiscope.git
cd sentiscope

2. Create a virtual environment

python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate

3. Install dependencies

pip install -r requirements.txt

4. Start the services

docker-compose up -d

📚 API Documentation

Endpoints

POST /api/v1/analyze

Analyze the sentiment of a product review.

{
    "text": "This product exceeded my expectations! Great quality.",
    "product_id": "12345"
}

Response:

{
    "sentiment": "positive",
    "confidence": 0.95,
    "breakdown": {
        "positive": 0.95,
        "neutral": 0.03,
        "negative": 0.02
    },
    "analysis_id": "a1b2c3d4"
}

📊 Model Performance

• Accuracy: 94% on benchmark dataset
• F1 Score: 0.92
• Processing Time: <100ms per review

🔍 Monitoring

Access the monitoring dashboard at http://localhost:3000 after starting the services. Default credentials:

• Username: admin
• Password: Check .env.example file

📝 License

Distributed under the MIT License. See LICENSE for more information.

📬 Contact

Your Name - @yourtwitter

Project Link: https://github.com/yourusername/sentiscope