Naomi Baes

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Naomi Baes is a PhD candidate and computational social scientist at the University of Melbourne, working at the intersection of natural language processing and social psychology. Her research develops and evaluates computational methods for studying lexical semantic change: how word meanings change over time. Her doctoral research introduced a multidimensional framework for distinguishing changes in sentiment, emotional intensity and breadth of meaning, and applied it to mental health-related concepts in academic psychology, general American English and U.S. news media. One application examines concept creep, including how mental health and other harm-related concepts have broadened in meaning over time. She also collaborates on research evaluating how different AI language models represent word meanings and identify forms of mental health stigma, and on computational studies of how people and social groups are represented through language, including research on dehumanization and identity labels.

Experience

  • 2023–present
    Graduate Researcher, The University of Melbourne
  • 2023–present
    Research assistant, The University of Melbourne

Education

  • 2021 
    University of Melbourne, Graduate Diploma in Psychology (Advanced)
  • 2020 
    University of Melbourne, Graduate Diploma in Psychology
  • 2014 
    Australian Catholic University, Bachelor of International Development Studies

Professional Memberships

  • Association for the Advancement of Artificial Intelligence
  • Association for Computational Linguistics
  • Society of Australasian Social Psychologists

Research Areas

  • Psychology (1701)
  • Natural Language Processing (080107)
  • Computational Linguistics (200402)

Contact Naomi for

  • General
  • Media request
  • Speaking request
  • Consulting / Advising
  • Research collaboration