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How developments in natural language processing help us in understanding human behaviour

Author

Listed:
  • Rada Mihalcea

    (University of Michigan)

  • Laura Biester

    (Middlebury College)

  • Ryan L. Boyd

    (University of Texas at Dallas)

  • Zhijing Jin

    (Max Planck Institute for Intelligence Systems)

  • Veronica Perez-Rosas

    (University of Michigan)

  • Steven Wilson

    (Oakland University)

  • James W. Pennebaker

    (University of Texas at Austin)

Abstract

The ways people use language can reveal clues to their emotions, social behaviours, thinking styles, cultures and the worlds around them. In the past two decades, research at the intersection of social psychology and computer science has been developing tools to analyse natural language from written or spoken text to better understand social processes and behaviour. The goal of this Review is to provide a brief overview of the methods and data currently being used and to discuss the underlying meaning of what language analyses can reveal in comparison with more traditional methodologies such as surveys or hand-scored language samples.

Suggested Citation

  • Rada Mihalcea & Laura Biester & Ryan L. Boyd & Zhijing Jin & Veronica Perez-Rosas & Steven Wilson & James W. Pennebaker, 2024. "How developments in natural language processing help us in understanding human behaviour," Nature Human Behaviour, Nature, vol. 8(10), pages 1877-1889, October.
    • Handle: RePEc:nat:nathum:v:8:y:2024:i:10:d:10.1038_s41562-024-01938-0
    DOI: 10.1038/s41562-024-01938-0
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