reviewIEEE AccessJan 1, 2025GOLD OA

Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques

National University of Sciences and Technology · Qassim University · +3 more institutions

Indexed incrossrefdoaj

Abstract

Depression is a widespread mental health disorder that may remain undiagnosed by conventional clinical methods. The rapidly growing world of social media sites such as Twitter, Reddit, Facebook, Instagram, and Weibo has provided new avenues for depression detection using Machine Learning (ML) as well as Deep Learning (DL), which analyze user behavior patterns and linguistic cues for more accurate detection of depression. Many techniques have been developed for this aim over the years. Identifying relevant publications on this topic using current academic search systems is challenging due to the rapid growth of research publications, unclear or limited search terms, and the complexity of citation networks.…

Citation impact

42
total citations
FWCI
78.82
Percentile
100%
References
113
Citations per year

Authors

6

Topics & keywords

Keywords
  • Computer science
  • Deep learning
  • Artificial intelligence
  • Social media
  • Machine learning
  • Data science
  • World Wide Web
UN Sustainable Development Goals
  • Reduced inequalities
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