most citedEfficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media

54 citations · 127 across the 4 of their papers we have counts for

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cs.CL2025★ 15 cited

Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection

Yeyubei Zhang, Zhongyan Wang, Zhanyi Ding +5

Social media has become an important source for understanding mental health, providing researchers with a way to detect conditions like depression from user-generated posts. This t…

cs.CL2025★ 54 cited

Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media

Zhanyi Ding, Zhongyan Wang, Yeyubei Zhang +5

Social media platforms provide valuable insights into mental health trends by capturing user-generated discussions on conditions such as depression, anxiety, and suicidal ideation.…