🚀 PhoBERT Public Service Sentiment Analysis

Hệ thống phân tích cảm xúc tiên tiến cho dịch vụ công Việt Nam | Advanced sentiment analysis for Vietnamese public services

🌟 Highlights

• 🎯 State-of-the-Art Performance: 88.8% overall accuracy with outstanding 98.3% negative sentiment detection
• 🔥 Advanced NLP: Powered by PhoBERT - the leading Vietnamese language model
• ⚡ Real-time Analysis: Process and analyze feedback instantly
• 🎨 Multi-aspect Analysis: Detect multiple sentiments within single reviews
• 📊 Comprehensive Dataset: Trained on 85,500+ authentic public service reviews
• 🛠️ Production-Ready: Scalable architecture for enterprise deployment

💡 Why This Matters

Traditional sentiment analysis tools struggle with Vietnamese public service reviews due to:

• Complex administrative terminology
• Regional linguistic variations
• Mixed formal/informal language
• Context-dependent expressions

Our system specifically addresses these challenges, providing government agencies with accurate, actionable insights from citizen feedback.

🔍 Key Features

Advanced Processing

• 📝 Specialized Vietnamese text preprocessing
• 🔄 Handles code-switching (Vietnamese-English)
• 🎯 Domain-specific terminology recognition
• 🔧 Regional language variation support

Intelligent Analysis

• 🧠 Fine-tuned PhoBERT model
• 📈 Context-aware sentiment detection
• 🎭 Multi-aspect sentiment classification
• ⚡ Real-time processing capabilities

Enterprise Ready

• 🚀 Scalable architecture
• 📊 Comprehensive analytics dashboard
• 🔄 Continuous monitoring
• 📱 Multi-platform support (Google Play, Google Maps)

📊 Performance Metrics

Metric	Score
Overall Accuracy	88.8%
Negative Sentiment Detection	98.3%
Positive Sentiment Detection	79.0%
Processing Speed	Real-time
Scale	85,500+ reviews analyzed

🛠️ Technology Stack

• Core: Python 3.8+, PyTorch
• Model: PhoBERT (fine-tuned)
• Processing: Transformers, Vietnamese NLP tools
• Analysis: Custom sentiment analysis pipeline
• Deployment: Docker-ready

📈 Use Cases

Government Agencies

• 📊 Real-time service quality monitoring
• 🎯 Early issue detection
• 📈 Trend analysis
• 🔄 Service improvement tracking

Research & Development

• 🧪 Benchmark dataset for Vietnamese NLP
• 📚 Public service sentiment analysis
• 🔬 E-government feedback analysis

🚀 Quick Start

# Clone the repository
git clone https://github.com/YCN-AFS/GovService_SentimentAI.git

# Install dependencies
pip install -r requirements.txt

# Run the analysis
python analyze.py --input your_data.csv

📚 Documentation

Comprehensive documentation available at docs/README.md

🤝 Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

📜 Citation

If you use this work in your research, please cite:

@article{phobert-public-service-2024,
  title={Sentiment Analysis System for Public Service Reviews Using PhoBERT},
  author={[Authors]},
  journal={[Journal]},
  year={2024}
}

📄 License

[License information to be added]

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