Emily Öhman ; Riikka Rossi - Affect as a proxy for literary mood

jdmdh:11164 - Journal of Data Mining & Digital Humanities, August 13, 2023, NLP4DH - https://doi.org/10.46298/jdmdh.11164
Affect as a proxy for literary moodArticle

Authors: Emily Öhman ORCID1; Riikka Rossi ORCID2

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.


Volume: NLP4DH
Published on: August 13, 2023
Accepted on: May 14, 2023
Submitted on: April 7, 2023
Keywords: Computer Science - Computation and Language

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