Depression Detection on e-Risk 2017 using Long Short-term Memory Models
Author:
Affiliation:
1. K. N. Toosi University of Technology,Faculty of Computer Engineering,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10475172/10475200/10475293.pdf?arnumber=10475293
Reference40 articles.
1. Depression recognition using machine learning methods with different feature generation strategies
2. Feature studies to inform the classification of depressive symptoms from Twitter data for population health;Mowery
3. Prospective associations of text‐message‐based sentiment with symptoms of depression, generalized anxiety, and social anxiety
4. Time Spent on Social Media and Risk of Depression in Adolescents: A Dose–Response Meta-Analysis
5. Deep Learning for Depression Detection from Textual Data
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