The science of complexity aims to answer the question of what rules nature chooses when
assembling the basic constituents of matter and energy into structures and dynamical …

Mankind has long been fascinated by emergence in complex systems. With the rapidly
accumulating big data in almost every branch of science, engineering, and society, a golden …

Over the years, the task of predicting reader appreciation or literary quality has been the
object of several studies, but it remains a challenging problem in quantitative literary studies …

In the few works that have used NLP to study literary quality, sentiment and emotion analysis
have often been considered valuable sources of information. At the same time, the idea that …

This article explores the sentiment dynamics present in narratives and their contribution to
literary appreciation. More specifically, we investigate whether a certain type of sentiment …

Predicting literary quality and reader appreciation of narrative texts are highly complex
challenges in quantitative and computational literary studies due to the fluid definitions of …

Abstract Today, The Nobel Prize for Literature is one of the most recognized and prestigious
awards. Examining the texts of the authors who have received this award and revealing the …

We explore the correlation between the sentiment arcs of HC Andersen's fairy tales and their
popularity, measured as their average score on the platform GoodReads. Specifically, we do …

In this study, we employ a classification approach to show that different categories of literary"
quality" display unique linguistic profiles, leveraging a corpus that encompasses titles from …

We propose to use affect as a proxy for mood in literary texts. In this study, we explore the
differences in computationally detecting tone versus detecting mood. Methodologically we …