Negative emotions in literature: a computational approach to tone and mood

文学中的负面情绪：语气和情绪的计算方法

• 批准号: 22K18154
• 负责人: OHMAN Emily
• 金额: $ 1.25万
• 依托单位: Waseda University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2022
• 资助国家: 日本
• 起止时间: 2022-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-22K18154/
• 关键词: sentiment analysis; CLS; emotion detection; NLP; machine learning; word embeddings; affect studies

I have developed emotion lexicons for emotion association and emotion intensity. These lexicons were used to create affective word embeddings from an initial corpus of 1000 works of literature. In an iterative process, the lexicons can then be enhanced and expanded and used to fine-tune the emotion detection model for the specific domain and to adjust for semantic shifts in language. We have been able to show that mood can quite accurately be detected computationally by focusing on the first three paragraphs of a book. A by-product of this project was the development of a Finnish chapterize package that splits these books into chapters automatically.The findings were disseminated in two peer-reviewed papers and presented at several international conferences. Three more papers are currently in peer-review. Both the lexicons and the literature corpus have been made publicly available.

我开发了用于情感关联和情感强度的情感词典。这些词典用于根据 1000 部文学作品的初始语料库创建情感词嵌入。在迭代过程中，词典可以得到增强和扩展，并用于微调特定领域的情绪检测模型并调整语言中的语义变化。我们已经能够证明，通过关注一本书的前三段，可以通过计算相当准确地检测情绪。该项目的副产品是开发了芬兰语章节包，该包可自动将这些书籍分成章节。研究结果以两篇同行评审论文的形式传播，并在多个国际会议上发表。目前还有三篇论文正在接受同行评审。词典和文学语料库均已公开。

项目成果

SELF & FEIL: Emotion Lexicons for Finnish

自己

• 发表时间: 2022
• 期刊: Proceedings of the 6th Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022)
• 作者: Emily Ohman

Computational exploration of emotions in literature

文学中情感的计算探索

• 发表时间: 2023
• 作者: Emily Ohman;Emily Ohman and Riikka Rossi;Emily Ohman
• 通讯作者: Emily Ohman

Computational Exploration of the Origin of Mood in Literary Texts

• 发表时间: 2022
• 作者: Emily Öhman;Riikka Rossi

The emotion lexicons

情感词典

Sentiment analysis: Critical approaches

情感分析：关键方法

• 发表时间: 2022
• 作者: Emily Ohman;Emily Ohman and Riikka Rossi;Emily Ohman;Emily Ohman;Emily Ohman
• 通讯作者: Emily Ohman