Scientists teach neural network to identify a writer's gender

A team of researchers from the National Research Nuclear University MEPhI, the National Research Center Kurchatov Institute and the Voronezh State University has developed a new learning algorithm that allows a neural network to identify a writer's gender by the written text on a computer with up to 80 percent accuracy. This is a new development in the field of computational linguistics. The research was funded by a Russian Science Foundation grant. The findings were published in the Procedia Computer Science journal. Many scientific studies show that writing style can reflect certain characteristics of a writer – gender, physiological personality traits, and level of education.