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Automatic detection of depression symptoms in twitter using multimodal analysis |
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| Authors: | Safa Ramin Bayat Peyman Moghtader Leila |
| Affiliation: | 1.Department of Computer Engineering, Rasht Branch, Islamic Azad University, Rasht, Iran ;2.Department of Psychology, Rasht Branch, Islamic Azad University, Rasht, Iran ; |
| Abstract: | The Journal of Supercomputing - Depression is the most prevalent mental disorder that can lead to suicide. Due to the tendency of people to share their thoughts on social platforms, social data... |
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| 本文献已被 SpringerLink 等数据库收录！ | |