Cool technology:
[Wayback/Archive] maartensukel/example-textual-classification-citizen-reports: Example of a simple textual classification using TF-IDF and LR.
The classification is done by using a TF-IDF (Term Freuqency – Inversed document frequency) as representation for the text and a logistic regression to classify the text. Optimal hyperparameters for the dataset are found using a gridsearch.
Author: [Wayback/Archive] Maarten Sukel (@MaartenSukel) / Twitter
The source is based on Python Pandas and sci-kit learn (also known as sklearn).





