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
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
- FWCI
- 78.82
- Percentile
- 100%
- References
- 113
Authors
6- WBWaleed Bin TahirCorresponding
National University of Sciences and Technology
- SKShah Khalid
National University of Sciences and Technology
- SASulaiman Almutairi
Qassim University
- MAMohammed Abohashrh
King Khalid University
- SASufyan Ali Memon
Sejong University
Topics & keywords
- Computer science
- Deep learning
- Artificial intelligence
- Social media
- Machine learning
- Data science
- World Wide Web
- Reduced inequalities