A self-learning artificial intelligence that identifies authorship
Emma is a self-learning algorithm developed to solve the problem of authorship identification. Her artificial intelligence uses 50 math parameters that are able to catch all the peculiarities of human and non-human way of writing. Her technology is based on stylometric techniques. Emma learns the language, analyzes the writing style, and then identifies the authorship to within 85% precision. For now, this is the highest result in the authorship attribution methodology ever achieved by engineers worldwide.