Experiments classifying legal documents into their sub-categories: e.g. civil law, criminal law or administrative law. Classifiers used:
- k-Nearest Neighbours
- linear Support Vector Machine
- Random Forest
- Convolutional Neural Network
- Long Short Term Memory Neural Network
Convert raw XML (from rechtspraak.nl) to plain text using xmlToPlain.py
Make bag of words data file using to_bow_data.py
Make int vector model using to_vector_data.py
Bag of words classifiers can then be executed using bow_*.py, the LSTM using word2vec_lstm.py