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

Research Project

Project/Area Number 22K18154
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 90020:Library and information science, humanistic and social informatics-related
Research InstitutionWaseda University

Principal Investigator

Ohman Emily  早稲田大学, 国際学術院, 講師テニュアトラック (60906543)

Project Period (FY) 2022-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2023: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2022: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
KeywordsEmotion detection / sentiment analysis / digital humanities / literary analysis / NLP / machine learning / CLS / emotion detection / word embeddings / affect studies
Outline of Research at the Start

With the creation of period- and genre-specific language models for turn-of-the-century literary texts this project aims to deliver robust tone and mood detection methods for literary studies that will not only improve existing computational literary studies approaches, but also sentiment analysis.

Outline of Final Research Achievements

With this project we were able to develop new tools for the computational detection, recognition, and analysis of mood in literary texts. We were able to
to show that the mood of a novel can be computationally detected with high accuracy using only the first 500 words of the first chapter. Additonally, we created emotion arc corpora for 1,000 Finnish novels and nearly 10,000 English novels.
Furthermore, we focused on negative emotions and examined specifically shame and guilt as cultural concepts in English and Japanese to show that shame is often portrayed as a public experience and guilt as an emotion that encompasses both private elements, akin to sadness, and public aspects, such as the motivation to openly acknowledge a transgression.

Academic Significance and Societal Importance of the Research Achievements

This research has added to the understanding of the literary concept of mood and how to detect it computationally. Additionally, the project has helped with the understanding of shame and guilt across and within cultures. It has also provided several open access corpora and other tools.

Report

(3 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • Research Products

    (27 results)

All 2024 2023 2022 Other

All Int'l Joint Research (6 results) Journal Article (7 results) (of which Int'l Joint Research: 7 results,  Peer Reviewed: 7 results,  Open Access: 7 results) Presentation (8 results) (of which Int'l Joint Research: 4 results,  Invited: 5 results) Remarks (5 results) Funded Workshop (1 results)

  • [Int'l Joint Research] University of Helsinki(フィンランド)

    • Related Report
      2023 Annual Research Report
  • [Int'l Joint Research] Metropolia University of Applied Science(フィンランド)

    • Related Report
      2023 Annual Research Report
  • [Int'l Joint Research] Arctic University of Norway(ノルウェー)

    • Related Report
      2023 Annual Research Report
  • [Int'l Joint Research] Aarhus University(デンマーク)

    • Related Report
      2023 Annual Research Report
  • [Int'l Joint Research] University of Bologna(イタリア)

    • Related Report
      2023 Annual Research Report
  • [Int'l Joint Research] University of Helsinki(フィンランド)

    • Related Report
      2022 Research-status Report
  • [Journal Article] Contrasting the semantic space of ‘shame’ and ‘guilt’ in English and Japanese2024

    • Author(s)
      Diegoli Eugenia、Ohman Emily
    • Journal Title

      Language and Cognition

      Volume: - Issue: 4 Pages: 1-23

    • DOI

      10.1017/langcog.2024.6

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] EmotionArcs: Emotion Arcs for 9,000 Literary Texts2024

    • Author(s)
      Emily Ohman, Yuri Bizzoni, Pascale Feldkamp Moreira, Kristoffer Nielbo
    • Journal Title

      Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024)

      Volume: - Pages: 51-66

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Not just Plot(ting): A Comparison of Two Approaches for Understanding Narrative Text Dynamics2023

    • Author(s)
      Pascale Feldkamp Moreira, Yuri Bizzoni, Emily Ohman, Kristoffer Nielbo
    • Journal Title

      Proceedings of CHR 2023: Computational Humanities Research Conference

      Volume: - Pages: 191-205

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Affect as a proxy for literary mood2023

    • Author(s)
      Ohman Emily、Rossi Riikka
    • Journal Title

      Journal of Data Mining & Digital Humanities

      Volume: NLP4DH

    • DOI

      10.46298/jdmdh.11164

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] From hate speech recognition to happiness indexing: critical issues in datafication of emotion in text mining2023

    • Author(s)
      Laaksonen Salla-Maaria、Paakkonen Juho、Ohman Emily
    • Journal Title

      Handbook of Critical Studies of Artificial Intelligence

      Volume: - Pages: 631-641

    • DOI

      10.4337/9781803928562.00064

    • ISBN
      9781803928562, 9781803928555
    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] SELF & FEIL: Emotion Lexicons for Finnish2022

    • Author(s)
      Emily Ohman
    • Journal Title

      Proceedings of the 6th Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022)

      Volume: 3232 Pages: 424-432

    • Related Report
      2022 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Computational Exploration of the Origin of Mood in Literary Texts2022

    • Author(s)
      Emily Ohman and Riikka Rossi
    • Journal Title

      Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities

      Volume: 2 Pages: 8-14

    • Related Report
      2022 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Datafication of Affect: methodological, theoretical and epistemological concerns2024

    • Author(s)
      Emily Ohman
    • Organizer
      HelDig Research Seminar (University of Helsinki)
    • Related Report
      2023 Annual Research Report
    • Invited
  • [Presentation] Mining Social Media Data for Insights into Language Use2024

    • Author(s)
      Emily Ohman
    • Organizer
      Language of Social Media course at University of Helsinki
    • Related Report
      2023 Annual Research Report
    • Invited
  • [Presentation] Affective Datafication of Narratives: measuring affect, emotion, and mood in literary texts2023

    • Author(s)
      Emily Ohman
    • Organizer
      13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Affective Queer Narratives on Japanese Online Fora2023

    • Author(s)
      Emily Ohman
    • Organizer
      Japanese Association of Digital Humanities
    • Related Report
      2023 Annual Research Report
  • [Presentation] Computational exploration of emotions in literature2023

    • Author(s)
      Emily Ohman
    • Organizer
      BINUS University Digital Humanities Symposium
    • Related Report
      2022 Research-status Report
    • Invited
  • [Presentation] Computational Exploration of the Origin of Mood in Literary Texts2022

    • Author(s)
      Emily Ohman
    • Organizer
      Natural Language Processing for Digital Humanities
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] Sentiment analysis: Critical approaches2022

    • Author(s)
      Emily Ohman
    • Organizer
      Rajapinta computational social science unconference
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] SELF & FEIL Emotion Lexicons for Finnish2022

    • Author(s)
      Emily Ohman
    • Organizer
      Digital Humanities in the Nordic and Baltic Countries Conference 2022
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Remarks] EmotionArcs for 9,000 literary texts

    • URL

      https://github.com/yuri-bizzoni/EmoArc

    • Related Report
      2023 Annual Research Report
  • [Remarks] The STRANGENORTH project

    • URL

      https://research.fi/en/results/funding/78504

    • Related Report
      2023 Annual Research Report
  • [Remarks] The emotion lexicons

    • URL

      https://github.com/Helsinki-NLP/SELF-FEIL

    • Related Report
      2022 Research-status Report
  • [Remarks] A Finnish version of the chapterize package

    • URL

      https://github.com/esohman/chapterize-fi

    • Related Report
      2022 Research-status Report
  • [Remarks] The literature corpus online

    • URL

      https://github.com/esohman/FinLit-corpus

    • Related Report
      2022 Research-status Report
  • [Funded Workshop] Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages2023

    • Related Report
      2023 Annual Research Report

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Published: 2022-04-19   Modified: 2025-01-30  

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