Revealing traces of depression through personal statements analysis in social media

作者：

Highlights：

• Phrases with personal information represent a source of discriminative traces of depression in social media

• Selecting & weighing terms regarding their occurrence in personal statements seems to be very useful for depression detection

• The proposed approach shows competitive performance in early depression detection in comparison with state-of-the-art methods

摘要

•Phrases with personal information represent a source of discriminative traces of depression in social media•Selecting & weighing terms regarding their occurrence in personal statements seems to be very useful for depression detection•The proposed approach shows competitive performance in early depression detection in comparison with state-of-the-art methods

论文关键词：Depression detection,Personal information,Personal pronouns,DPP-EXPEI

论文评审过程：Received 22 April 2020, Revised 16 September 2021, Accepted 29 October 2021, Available online 10 November 2021, Version of Record 19 November 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102202