Extracting depressive symptoms and their associations from an online depression community

作者：

Highlights：

• A coding/annotation scheme was developed to categorize the depressive symptoms mentioned in online depression communities.

• Symptoms were categorized into five categories: emotional, cognitive, motivational, vegetative/physical, and seeking help.

• We conducted a network analysis to characterize the associations between depression symptoms.

• Suicidality was the most central symptom in this online depression community.

• Fear and sleep disturbance, negative expectation and suicidality usually co-occurred.

摘要

•A coding/annotation scheme was developed to categorize the depressive symptoms mentioned in online depression communities.•Symptoms were categorized into five categories: emotional, cognitive, motivational, vegetative/physical, and seeking help.•We conducted a network analysis to characterize the associations between depression symptoms.•Suicidality was the most central symptom in this online depression community.•Fear and sleep disturbance, negative expectation and suicidality usually co-occurred.

论文关键词：Online depression community,Depressive symptom,Association,Text classifier,Annotation scheme,Sina Weibo

论文评审过程：Received 19 May 2020, Revised 28 September 2020, Accepted 8 February 2021, Available online 10 February 2021, Version of Record 17 February 2021.

论文官网地址：https://doi.org/10.1016/j.chb.2021.106734