Affect as a proxy for literary mood
Fuente:
arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
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| _version_ | 1866916122818772992 |
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| author | Öhman, Emily Rossi, Riikka |
| author_facet | Öhman, Emily Rossi, Riikka |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2304_02894 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Affect as a proxy for literary mood Öhman, Emily Rossi, Riikka Computation and Language 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. |
| title | Affect as a proxy for literary mood |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2304.02894 |