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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Bibliographic Details
Published in:	Journal of data mining and digital humanities Vol. NLP4DH
Main Authors:	Emily Öhman, Riikka Rossi
Format:	Journal Article
Language:	English
Published:	Nicolas Turenne 01.08.2023
Subjects:	computer science - computation and language
ISSN:	2416-5999
Online Access:	Get full text
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Summary:	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 simple yet efficient and effective method of enhancing emotion lexicons to take both semantic shift and the domain of the text into account producing real-world congruent results closely matching both contemporary and modern qualitative analyses.
ISSN:	2416-5999
DOI:	10.46298/jdmdh.11164