Detecting Mental illnesses in Social Networks through Psychological Patterns
DOI:
https://doi.org/10.48047/4f2zwq38Keywords:
Mental Disorders, Passionate Patterns, Machine to Learn We are everyone conditions user in this archives.Abstract
This study explores the use of emotional patterns on social media platforms as a means of identifying people with anorexia. By analyzing posts and interactions, researchers aim to detect early signs of mental illness and provide timely intervention and support . We used two ongoing public datasets for two major mental illnesses: depression and anorexia nervosa. The results suggest
that the presence and variability of emotions captured through the proposed representations allows for vital information to be shed about social media users with depression or anorexia. Furthermore, the combination of the two representations may help the exhibit, as it best matches the detailed approach to sadness and is only 1% lower than the main anorexia animation. Additionally, these representations provide the opportunity to add some interpretability to the findings.
Downloads
References
to. Kessler, for me. Joke , p. young man , V. Chalet , and Marisella., "he critical to depression illness," Public Health Perspectives on Depressive Disorders, 2017.
World Health Organization , “Mental health: Fact sheet”, https://www.euro.who.int/en/healthtopics/noncommunicablediseases/mental-health , 2019.
subway. Renteria Rodriguez, " health mental He is Mexico Note - INcyTU north Omero 007, 2018.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
