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

Rada Mihalcea (), Laura Biester, Ryan L. Boyd, Zhijing Jin, Veronica Perez-Rosas, Steven Wilson and James W. Pennebaker
Additional contact information
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

Nature Human Behaviour, 2024, vol. 8, issue 10, 1877-1889

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41562-024-01938-0

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