  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 field of sentiment analysis, and receives
increasing attention in literary studies. In the past, the affective dimension
of literature was mainly studied in the context of literary hermeneutics.
However, with the emergence of the research field known as Digital Humanities
(DH), some studies of emotions in a literary context have taken a computational
turn. Given the fact that DH is still being formed as a field, this direction
of research can be rendered relatively new. In this survey, we offer an
overview of the existing body of research on emotion analysis as applied to
literature. The research under review deals with a variety of topics including
tracking dramatic changes of a plot development, network analysis of a literary
text, and understanding the emotionality of texts, among other topics.
