Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Natural Language Processing Of Helpline Chat Data Before And During The Pandemic Revealed Significant Decrease In Self-image Appreciation And Changes In Other Traits

Maria Paz Raveau
* ,
Julian Goñi
* ORCID logo ,
José Rodriguez
,
Isidora Paiva
,
Fernanda Barriga
,
Maria Paz Hermosilla
,
Claudio Fuentes
,
Susana Eyheramendy
Version 1 : Received: 31 January 2022 / Approved: 1 February 2022 / Online: 1 February 2022 (12:03:47 CET)

A peer-reviewed article of this Preprint also exists.

Raveau, M.P., Goñi, J.I., Rodríguez, J.F. et al. Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic. npj Mental Health Res 2, 17 (2023). https://doi.org/10.1038/s44184-023-00039-6 Raveau, M.P., Goñi, J.I., Rodríguez, J.F. et al. Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic. npj Mental Health Res 2, 17 (2023). https://doi.org/10.1038/s44184-023-00039-6

Abstract

During the last two years the COVID-19 pandemic has affected the world population in several ways. An important increase in mental health problems is a consequence of this pandemic that is ubiquitous worldwide. In this work we study the effect of the pandemic on the mental health of a population of teenagers and youth based on the analysis of natural language processing, machine learning algorithms and expert knowledge. The data analysed was obtained from a chat helpline called Safe time from theIt Get’s Better Foundation in Chile. The data consists of 10,986 conversations gathered from 2018 until 2020 between volunteers from the foundation and users of the platform. We compared the conversationsbefore and during the pandemic in terms of their thematic content. Our analysis found: a significantdecrease in self-image appreciation during the pandemic; a significant decrease in the quality of personalrelationships during the pandemic, and a significant increase of performance appreciation.

Keywords

mental health; natural language processing; interdisciplinary research; mental health helpline

Subject

Computer Science and Mathematics, Computer Vision and Graphics

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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