To further enhance the performance of depression detection, researches have recently proposed deep learning methods (Kshirsagar et al., 2017;Yates et al., 2017;Orabi et al., 2018).
despite the improved performance, they still do not present a clear way to explain why certain individuals have been detected as depressed, which is critical for a follow-up study on specific diagnosis and prevention.