In two studies, we examine the relationship between self-reported everyday activities and SWB, while allowing individuals to express their activities freely by allowing open-ended responses that were then analyzed with state-of-the-art (transformers-based) Natural Language Processing.
We show that using a recent break-through in artificial intelligence –transformers–, psychological assessments from text-responses can approach theoretical upper limits in accuracy, converging with standard psychological rating scales..
This tutorial introduces how to use state-of-the-art AI techniques in both custom research analyses as well as in completely end-to-end analytic processes in R.
An `r-package` for analyzing text using NLP and deep learning.
My Open Science Framework Profile.