2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP) 2020
DOI: 10.1109/icccsp49186.2020.9315254
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Depression Detection Using Optical Characteristic Recognition and Natural Language Processing in SNS

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“…Depression patients differ significantly from normal people in emotional experience or emotional state. The huge difference is manifested in their facial expressions [10][11][12][13]. The microexpressions, which characterize the real emotional changes of depression patients, have the following features: the duration is short, centralized samples are few, and recognition is inaccurate.…”
Section: Introductionmentioning
confidence: 99%
“…Depression patients differ significantly from normal people in emotional experience or emotional state. The huge difference is manifested in their facial expressions [10][11][12][13]. The microexpressions, which characterize the real emotional changes of depression patients, have the following features: the duration is short, centralized samples are few, and recognition is inaccurate.…”
Section: Introductionmentioning
confidence: 99%