Computational Exploration of the Origin of Mood in Literary Texts

Emily Öhman, Riikka H. Rossi


Abstract
This paper is a methodological exploration of the origin of mood in early modern and modern Finnish literary texts using computational methods. We discuss the pre-processing steps as well as the various natural language processing tools used to try to pinpoint where mood can be best detected in text. We also share several tools and resources developed during this process. Our early attempts suggest that overall mood can be computationally detected in the first three paragraphs of a book.
Anthology ID:
2022.nlp4dh-1.2
Volume:
Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities
Month:
November
Year:
2022
Address:
Taipei, Taiwan
Venue:
NLP4DH
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
8–14
Language:
URL:
https://aclanthology.org/2022.nlp4dh-1.2
DOI:
Bibkey:
Cite (ACL):
Emily Öhman and Riikka H. Rossi. 2022. Computational Exploration of the Origin of Mood in Literary Texts. In Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities, pages 8–14, Taipei, Taiwan. Association for Computational Linguistics.
Cite (Informal):
Computational Exploration of the Origin of Mood in Literary Texts (Öhman & Rossi, NLP4DH 2022)
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https://preview.aclanthology.org/auto-file-uploads/2022.nlp4dh-1.2.pdf