Affective computing
Vocal communication of emotion: a review of research paradigms
Speech Communication - Special issue on speech and emotion
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Mark-up Barking Up the Wrong Tree
Computational Linguistics
Towards an expressive typology in storytelling: a perceptive approach
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Subjective natural language problems: motivations, applications, characterizations, and implications
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Detecting distressed and non-distressed affect states in short forum texts
LSM '12 Proceedings of the Second Workshop on Language in Social Media
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The purpose of this paper is to present an unusual English dataset for affect exploration in text. It describes a corpus of fairy tales from three sources that have been annotated for affect at the sentence level. Special attention is given to data marked by high annotator agreement. A qualitative analysis of characteristics of high agreement sentences from H. C. Andersen reveals several interesting trends, illustrated by examples.