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 …

This study investigates global properties of three categories of English text: canonical fiction,
non-canonical fiction, and non-fictional texts. The central hypothesis of the study is that there …

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 …

Multifractal analysis of literary works, utilizing measures such as sentence length and word
length as time series, have revealed the prevalence of multifractal structures within these …

Despite their widespread popularity, fairy tales are often overlooked when studying literary
quality with quantitative approaches. We present a study on the relation between sentiment …

Scientific writing is assumed to have become more informationally dense over time
(Halliday, 1988; Biber and Gray, 2016). By means of fractal analysis, we study whether over …

This study investigates global properties of literary and non-literary texts. Within the literary
texts, a distinction is made between canonical and non-canonical works. The central …

Atualmente, a vasta quantidade de textos online à disposição de qualquer organização ou
indivíduo tornou-se um enorme desafio. O consumidor/leitor encontra-se num labirinto de …