bertini36/profiler 📖

Installation   •  Commands   •  Algorithm settings   •  Post

Profiler tries to identify main topics in personal Twitter timelines using LDA topic models algorithm in a easy way for simple exploratory purposes

⚙️ Environment Setup

🐳 Required tools

1. Install Docker and Docker Compose
2. Clone this project: git clone https://github.com/bertini36/profiler
3. Move to the project folder: profiler

🚀 Usage

1. Install all the dependencies and bring up the project with Docker executing: make build
2. cp .env-sample .env
3. Add your Twitter keys at .env
4. If you require it, customize some algorithm technical configs at src/settings.py
5. Run an inference: make run timelines=pablocasado_ topics=3
6. ☕
7. HTML outputs will be generated at output folder. Open them with your navigator

📈 Results screenshot

— Built with ❤️ from Mallorca —