Affect as a proxy for literary mood

We propose to use affect as a proxy for mood in literary texts. In this study, we explore the differences in computationally detecting tone versus detecting mood. Methodologically we utilize affective word embeddings to look at the affective distribution in different text segments. We also present a...

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Vydané v:	Journal of data mining and digital humanities Ročník NLP4DH
Hlavní autori:	Emily Öhman, Riikka Rossi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Nicolas Turenne 01.08.2023
Predmet:	computer science - computation and language
ISSN:	2416-5999
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