TEXT ANALYSIS APPLICATIONS TO PSYCHIATRY

Abstract

The advent of social network and messenger apps has
led to the digitalization of a significant part of our
social interactions, specifically toward a textual format.
The quantitative analysis of these huge textual dataset,
through the use of machine learning, and more specifically deep neural networks, led to numerous technological innovations which are now used daily by millions of
users. As diagnosis in psychiatry is based, at least partly,
on language, it only seems natural to investigate the use
of these technologies in mental health. Consequently,
an interrogation on the different available approaches,
whether methodological or analytical, as well as their
potential applications in psychiatry, is necessary.