Using natural language processing to identify patterns associated with depression, anxiety, and stress symptoms during the COVID-19 pandemic.

Journal: Journal of affective disorders
PMID: 39892758

Abstract

BACKGROUND: Combining data-driven natural language processing techniques with traditional methods using predefined word lists may offer greater insights into the connections between language patterns and depression and anxiety symptoms, particularly within specific stressful contexts.

Authors

  • Abigail Beech
    Department of Psychology, Tufts University, 490 Boston Ave, Medford, MA 02155, USA; Department of Psychology, Harvard University, 33 Kirkland, St Cambridge, MA 02138, USA. Electronic address: abeech@bu.edu.
  • Haoxue Fan
    Department of Psychology, Harvard University, 33 Kirkland, St Cambridge, MA 02138, USA.
  • Jocelyn Shu
    Department of Psychology, Harvard University, 33 Kirkland, St Cambridge, MA 02138, USA.
  • Javiera Oyarzun
    Department of Psychology, Harvard University, 33 Kirkland, St Cambridge, MA 02138, USA.
  • Peter Nadel
    Research Technology, Tufts University, 16 Dearborn Rd, Somerville, MA 02144, USA.
  • Olivia T Karaman
    Department of Psychology, Harvard University, 33 Kirkland, St Cambridge, MA 02138, USA.
  • Sophia Vranos
    Department of Psychology, Harvard University, 33 Kirkland, St Cambridge, MA 02138, USA.
  • Elizabeth A Phelps
    Department of Psychology, Harvard University, Cambridge Massachusetts. Electronic address: phelps@fas.harvard.edu.
  • M Alexandra Kredlow
    Department of Psychology, Tufts University, 490 Boston Ave, Medford, MA 02155, USA; Department of Psychology, Harvard University, 33 Kirkland, St Cambridge, MA 02138, USA.

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