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.

我已经开发了情感词典，以进行情绪关联和情感强度。这些词典用于从1000幅文献作品的初始语料库中创建情感词嵌入。在迭代过程中，可以增强和扩展词典，并用于微调特定领域的情绪检测模型，并调整语言的语义转移。我们已经能够通过重点关注书的前三段来表明情绪可以完全准确地检测到心情。该项目的一个副产品是开发了芬兰章节包装的包装，该计划将这些书籍自动分为章节。这些发现是在两份同行评审的论文中传播的，并在几个国际会议上提出。当前还有另外三篇论文在同行评审中。词典和文献语料库都已公开可用。

项目成果

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

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 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