Advances in computing power, natural language processing, and digitization of text now
make it possible to study a culture's evolution through its texts using a 'big data'lens. Our …

Human emotions unfold over time, and more affective computing research has to prioritize
capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli …

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 …

Narratives, and other forms of discourse, are powerful vehicles for informing, entertaining,
and making sense of the world. But while everyday language often describes discourse as …

Most approaches to emotion analysis of social media, literature, news, and other domains
focus exclusively on basic emotion categories as defined by Ekman or Plutchik. However, art …

In this paper, we show how sentiment analysis can be used in tandem with effective
visualizations to quantify and track emotions in mail and books. We study a number of …

Sentiment analysis has gained widespread adoption in many fields, but not—until now—in
literary studies. Scholars have lacked a robust methodology that adapts the tool to the skills …

Literary genres are commonly viewed as being defined in terms of content and stylistic
features. In this paper, we focus on one particular class of lexical features, namely emotion …

Representation and learning of commonsense knowledge is one of the foundational
problems in the quest to enable deep language understanding. This issue is particularly …

This paper describes a corpus of about 3,000 English literary texts with about 250 million
words extracted from the Gutenberg project that span a range of genres from both fiction and …