A good novel can often elicit from a reader strong sentiments similar to the moods, feelings,
and attitudes depicted in the novel. With the rapid progress in AI, sentiment-based arcs in …

The moods, feelings, and attitudes represented in a novel will resonate in the reader by
activating similar sentiments. It is generally accepted that sentiment analysis can capture …

The moods, feelings and attitudes represented in a novel will resonate in the reader by
activating similar sentiments. It is generally accepted that sentiment analysis can capture …

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 …

Recent work in literary sentiment analysis has suggested that shifts in emotional valence
may serve as a reliable proxy for plot movement in novels. The raw sentiment time series of …

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 …

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 …

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 …

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 …

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 …