I Catching : Computationally Operationalising Narrative Perspective for Stylometric Analysis
Lisanne Van Rossum, Joris van Zundert, Dalen-Oskam, Van · Zenodo (CERN European Organization for Nuclear Research) · 2020
An automated way to measure a text's perspective is essential to a computational analysis of literary style and narrative. However, no such measure of narrative perspective exists to date. We aim to provide such a measure by taking two approaches to operationalise narrative perspective. The first measure is a machine learning approach, the second is based on computing the ratio of combinations of pronouns. Our research demonstrates that narrative perspective can be predicted with high accuracy and provides a reflection on the advantages and pitfalls of both methods.