Depression Detection using Facial Expression and Sentiment Analysis

Depression is a major mental health disorder that not only affects the emotional but also the physical and psychological state of the person. Although many researchers have explored numerous techniques in predicting depression, they usually rely on the use of facial expressions alone but it can affect the performance of the model as they are subtle and small. Thus adding additional features like textual analysis along with facial expression can help improve the accuracy. This paper introduces a technique to predict depression status by combining the result from facial expression and sentiment analysis.