Mining voices from self-expressed messages on social-media: Diagnostics of mental distress during COVID-19

作者：

Highlights：

• Uses computational intelligence and NLP to unveil factors underlying mental health issues after COVID-19.

• Uncovers that pandemic and subsequent lockdown anxiety are critical for mental health outcomes.

• Reveals that financial burden causes suicidal ideation before the pandemic.

• Offers insights for health policy makers, governments, psychiatric practitioners, and psychologists.

摘要

•Uses computational intelligence and NLP to unveil factors underlying mental health issues after COVID-19.•Uncovers that pandemic and subsequent lockdown anxiety are critical for mental health outcomes.•Reveals that financial burden causes suicidal ideation before the pandemic.•Offers insights for health policy makers, governments, psychiatric practitioners, and psychologists.

论文关键词：Mental health,Depression,Suicidal ideation,Natural language processing,Social-media,COVID-19,Pandemic

论文评审过程：Received 29 June 2021, Revised 10 February 2022, Accepted 8 April 2022, Available online 6 May 2022, Version of Record 20 September 2022.

论文官网地址：https://doi.org/10.1016/j.dss.2022.113792