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OHMAN Emily  OHMAN Emily

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Ohman Emily  OHMAN Emily

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Researcher Number 60906543
Other IDs
Affiliation (Current) 2025: 早稲田大学, 国際学術院, 准教授
Affiliation (based on the past Project Information) *help 2024: 早稲田大学, 国際学術院, 専任講師
2023: 早稲田大学, 国際学術院, 講師テニュアトラック
2022 – 2023: 早稲田大学, 国際学術院, 講師(テニュアトラック)
Review Section/Research Field
Principal Investigator
Basic Section 90020:Library and information science, humanistic and social informatics-related
Keywords
Principal Investigator
NLP / sentiment analysis / emotion recognition / affect studies / word embeddings / emotion detection / CLS / machine learning / literary analysis / digital humanities / Emotion detection
  • Research Projects

    (2 results)
  • Research Products

    (15 results)
  •  EmoMap: Emotion Mapping in Semantic SpacePrincipal Investigator

    • Principal Investigator
      OHMAN Emily
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 90020:Library and information science, humanistic and social informatics-related
    • Research Institution
      Waseda University
  •  Negative emotions in literature: a computational approach to tone and moodPrincipal Investigator

    • Principal Investigator
      Ohman Emily
    • Project Period (FY)
      2022 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 90020:Library and information science, humanistic and social informatics-related
    • Research Institution
      Waseda University

All 2024 2023 2022

All Journal Article Presentation

  • [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

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [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

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [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

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [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
    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [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

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [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

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [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

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [Presentation] Mining Social Media Data for Insights into Language Use2024

    • Author(s)
      Emily Ohman
    • Organizer
      Language of Social Media course at University of Helsinki
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [Presentation] Datafication of Affect: methodological, theoretical and epistemological concerns2024

    • Author(s)
      Emily Ohman
    • Organizer
      HelDig Research Seminar (University of Helsinki)
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [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
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [Presentation] Computational exploration of emotions in literature2023

    • Author(s)
      Emily Ohman
    • Organizer
      BINUS University Digital Humanities Symposium
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [Presentation] Affective Queer Narratives on Japanese Online Fora2023

    • Author(s)
      Emily Ohman
    • Organizer
      Japanese Association of Digital Humanities
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [Presentation] Sentiment analysis: Critical approaches2022

    • Author(s)
      Emily Ohman
    • Organizer
      Rajapinta computational social science unconference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [Presentation] Computational Exploration of the Origin of Mood in Literary Texts2022

    • Author(s)
      Emily Ohman
    • Organizer
      Natural Language Processing for Digital Humanities
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154
  • [Presentation] SELF & FEIL Emotion Lexicons for Finnish2022

    • Author(s)
      Emily Ohman
    • Organizer
      Digital Humanities in the Nordic and Baltic Countries Conference 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K18154

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