Network analysis applied to study works of fiction

Abstract

With the rise in prominence of digitalised literacy works in recent years, computational approaches to analyse literature texts have increased in popularity to compliment traditional literature analysis techniques. This paper aims to combine natural language processing, network science and machine learning techniques to explore how new insights can be obtained by using network features for prediction and classification machine learning tasks.