Fig. 1.

Classifying text using machine learning, in this example logistic regression with a ‘bag of words’ representation of the texts. The system is ‘trained’, learning a coefficient (or weight) for each unique word in a manually labelled set of documents (typically in the 1000s). In use, the learned coefficients are used to predict a probability for an unknown document