Document worth reading: “A Survey on Sentiment and Emotion Analysis for Computational Literary Studies”

Emotions have sometimes been an essential part of compelling narratives: literature tells about people with aims, needs, passions, and intentions. In the earlier, classical literary analysis usually scrutinized the affective dimension of literature contained in the framework of hermeneutics. However, with emergence of the evaluation topic typically often called Digital Humanities (DH) some analysis of emotions in literary context have taken a computational flip. Given the reality that DH stays to be being common as a science, this course of research could also be rendered comparatively new. At the similar time, the evaluation in sentiment analysis started in computational linguistic nearly twenty years up to now and is nowadays a longtime topic that has devoted workshops and tracks within the major computational linguistics conferences. This leads us to the question of what are the commonalities and discrepancies between sentiment analysis evaluation in computational linguistics and digital humanities? In this survey, we offer a top level view of the current physique of research on sentiment and emotion analysis as utilized to literature. We precede the first part of the survey with a quick introduction to pure language processing and machine learning, psychological fashions of emotions, and current a top level view of current approaches to sentiment and emotion analysis in computational linguistics. The papers supplied on this survey are each coming immediately from DH or computational linguistics venues and are restricted to sentiment and emotion analysis as utilized to literary textual content material. A Survey on Sentiment and Emotion Analysis for Computational Literary Studies