Synthesis of Affective Expressions and Artificial Intelligence to Discover Mental Distress in Online Community
Bibliographic Data
| ID | 15440598 |
|---|---|
| Authors | Anju Singh (0000-0003-3176-8357, GD Goenka University, corresponding author), Jaspreet Singh (0000-0002-9018-1233, GD Goenka University) |
| Year | 2022 |
| Volume | 22 |
| Issue | 4 |
| Pages | 1921-1946 |
| Publication date | 2022-12-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Mental Health and Addiction (JOURNAL) |
| Journal identifiers | ISSN: 1557-1874 • E-ISSN: 1557-1882 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11469-022-00966-z |
| PMID | 36570376 |
| OpenAlex | W4312037052 |
| Language | EN |
| References cited | 7 |
Cognitive psychology · Distress · Health psychology · Machine learning · Mental health · Psychiatry · Public health · Recall · Social media · World Wide Web · Applied Psychology · Clinical Psychology · Computer Science · Digital Mental Health Interventions · Medicine · Mental Health via Writing · Psychology · Sentiment Analysis and Opinion Mining · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |