Indonesian SDGs classification
Connecting Indonesian text to the 17 Sustainable Development Goals.
- Focus
- Machine learning
- Role / project
- Machine learning project
- Tools / approach
- Python, Multinomial Naive Bayes
Context
The Sustainable Development Goals describe 17 connected areas of global development. This project explores how text written in Bahasa Indonesia can be classified against those goals.
The work
The project uses Multinomial Naive Bayes, with the training work documented in a Jupyter notebook. The original repository makes the implementation available for exploration.
Outcome
An Indonesian text classification experiment organized around the 17 SDGs. The notebook and code are available in the public project repository.