When working with large collections of text, it becomes necessary to have tools that allow a computer to evaluate how similar two documents are to each other.

Propositional logic studies the inferential relationships among sentences, focusing on a class of logical operators known as propositional connectives.

Training a neural network means finding the values of the parameters, typically weight matrices, that minimize a loss function with respect to the training data.