Suicide Classification for News Media Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Suicide Classification for News Media Using Convolutional Neural Networks

Published:2022-05-09 Issue: Volume: Page:1-10
ISSN:1041-0236
Container-title:Health Communication
language:en
Short-container-title:Health Communication

Author:

Bello Hugo J.¹^ORCID,Palomar-Ciria Nora²^ORCID,Baca-García Enrique³⁴⁵⁶⁷,Lozano Celia⁸^ORCID

Affiliation:

1. Department of Applied Mathematics, Universidad de Valladolid

2. Servicio de Psiquiatría, Complejo Asistencial de Soria

3. Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz

4. Departamento de Psicología, Universidad Católica Maule, INSERM Unit 1061

5. CHU Nimes and University of Montpellier

6. Department of Psychiatry, Universidad Autónoma

7. Department of Psychiatry, Hospital Universitario Rey Juan Carlos

8. Department of Big Data and Business Intelligence, Sermes CRO

Funder

The author(s) reported there is no funding associated with the work featured in this article

Publisher

Informa UK Limited

Subject

Communication,Health (social science)

Link

https://www.tandfonline.com/doi/pdf/10.1080/10410236.2022.2058686

Reference21 articles.

1. Suicide Coverage in the Digital Press Media: Adherence to World Health Organization Guidelines and Effectiveness of Different Interventions Aimed at Media Professionals

2. Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations

3. Suicide portrayal in the Canadian media: examining newspaper coverage of the popular Netflix series ‘13 Reasons Why’

4. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions

5. Suicide risk and prevention during the COVID-19 pandemic

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023);Information Fusion;2024-09

2. Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023);2024

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