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 …

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 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 paper presents analysis of 30 literary texts written in English by different authors. For
each text, there were created time series representing length of sentences in words and …

Emotions are a crucial part of compelling narratives: literature tells us about people with
goals, desires, passions, and intentions. Emotion analysis is part of the broader and larger …

In natural language using short sentences is considered efficient for communication.
However, a text composed exclusively of such sentences looks technical and reads boring …

Emotion classification is an attractive research, emotion classification based on machine
learning has broad application prospects in the field of computer. It is particularly important …