Automatic Detection and Classification of Cognitive Distortions in Journaling Text

Mai Mostafa, Alia El Bolock, Slim Abdennadher

2021

Abstract

Cognitive distortions are negative thinking patterns that people adopt. Left undetected, it could lead to developing mental health problems. The goal of cognitive behavioral therapy is to correct and change cognitive distortions that in turn help with the recovery from mental illnesses such as depression and anxiety, overcoming addictions, and facing common life challenges. The aim of this study is to provide a machine learning solution for the automatic detection and classification of common cognitive distortions from journaling texts. Relatively few works have focused on exploring machine learning solutions and tools in the context of cognitive-behavioral therapy. And, given the rising popularity of online therapy programs, this tool could be used for instant feedback, and would also be a helpful service for therapists and psychiatrists to initiate and ease the detection of cognitive distortions. In this study, we provide a novel dataset that we used to train machine learning and deep learning algorithms. We then employed the best- performing model in an easy-to-use user interface.

Paper Citation

in Harvard Style

Mostafa M., El Bolock A. and Abdennadher S. (2021). Automatic Detection and Classification of Cognitive Distortions in Journaling Text. In Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-536-4, pages 444-452. DOI: 10.5220/0010713000003058

in Bibtex Style

@conference{webist21,
author={Mai Mostafa and Alia El Bolock and Slim Abdennadher},
title={Automatic Detection and Classification of Cognitive Distortions in Journaling Text},
booktitle={Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2021},
pages={444-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010713000003058},
isbn={978-989-758-536-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Automatic Detection and Classification of Cognitive Distortions in Journaling Text
SN - 978-989-758-536-4
AU - Mostafa M.
AU - El Bolock A.
AU - Abdennadher S.
PY - 2021
SP - 444
EP - 452
DO - 10.5220/0010713000003058