Voir la documentation de brScore
L'action `brTrain` est utilisée pour extraire des règles booléennes à partir de données textuelles. Elle fait partie de l'ensemble d'actions `boolRule` et est conçue pour identifier des combinaisons de termes qui sont prédictives de certaines catégories ou cibles dans un corpus de documents.
The brScore action scores text data based on a set of Boolean rules. These rules are typically generated by the brTrain action and are provided in an input table. The action processes an input document-term table and produces an output table indicating which documents satisfy which rules.
The brTrain action extracts Boolean rules from a collection of documents. It is a key part of supervised learning for text categorization, creating a human-readable model that explains the classification logic. This action analyzes the relationship between terms present in documents and their assigned categories (targets) to generate a set of IF-THEN rules. These rules can then be used by the brScore action to classify new documents.