Name Entity Recognition (NER) analyzer

This project is a simple example for NER tagging task in NLP. Based on Natasha library.

You can enter text and get text with tagged entities. Standart named entities are extracted: names, locations, organizations.

The web server is based on Flask framework. By default the application will run on port 5000.

Setting up and running the project 🚀

Prerequisites

Clone repository:

git clone https://github.com/Nkeramov/ner_analyzer.git

Switch to repo directory:

cd ner_analyzer

Traditional method with venv and pip

Create and activate virtual environment:

python -m venv .venv 
source .venv/bin/activate       # Linux/Mac
# or
./venv/Scripts/activate         # Windows

Install dependencies and run:

pip install -r requirements.txt
python main.py

Modern method with uv

Install dependencies and create virtual environment automatically:

uv sync

Run the project (virtual environment is handled automatically):

uv run python main.py

Or with explicit activation:

source .venv/bin/activate       # After uv sync
python main.py

🤝 Contributing

If you want to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push to your fork and create a pull request.

📝 License

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