Using six physical activity features and three Twitter sentiment features, an SVM reportedly classifies depression severity into three GDS-based levels with 94% accuracy in a 33-participant study.
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Predicting Human Depression with Hybrid Data Acquisition utilizing Physical Activity Sensing and Social Media Feeds
Using six physical activity features and three Twitter sentiment features, an SVM reportedly classifies depression severity into three GDS-based levels with 94% accuracy in a 33-participant study.