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Found 9 papers, 1 papers with code
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry
Thus, we conceptualize a set of aesthetic emotions that are predictive of aesthetic appreciation in the reader, and allow the annotation of multiple labels per line to capture mixed emotions within their context.
GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception
Most research on emotion analysis from text focuses on the task of emotion classification or emotion intensity regression.
An Analysis of Emotion Communication Channels in Fan-Fiction: Towards Emotional Storytelling
Our analysis shows that stories written by humans convey character emotions along various non-verbal channels.
An Analysis of Emotion Communication Channels in Fan Fiction: Towards Emotional Storytelling
Our analysis shows that stories written by humans convey character emotions along various non-verbal channels.
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters
The development of a fictional plot is centered around characters who closely interact with each other forming dynamic social networks.
A Survey on Sentiment and Emotion Analysis for Computational Literary Studies
Emotions are a crucial part of compelling narratives: literature tells us about people with goals, desires, passions, and intentions.
Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions
We aim at filling this gap and present a publicly available corpus based on Project Gutenberg, REMAN (Relational EMotion ANnotation), manually annotated for spans which correspond to emotion trigger phrases and entities/events in the roles of experiencers, targets, and causes of the emotion.
IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning
Our submission to the WASSA-2017 shared task on the prediction of emotion intensity in tweets is a supervised learning method with extended lexicons of affective norms.
Investigating the Relationship between Literary Genres and Emotional Plot Development
Literary genres are commonly viewed as being defined in terms of content and stylistic features.
