Detecting and measuring depression on social media using a machine learning approach: systematic review

HIGHLIGHTS

• who: Unknown from the School of Sociology, Huazhong University of Science and Technology, Wuhan, China have published the paper: Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review, in the Journal: (JOURNAL)
• what: The authors systematically reviewed studies that adopted the ML approach to measure depressive symptoms based on any text mining techniques to identify sentiments using social media data. The authors aimed to find studies focusing on the use of ML approaches, such as SVMs, Bayes, latent Dirichlet allocation (LDA), decision tree, Liu et al and neural_networks to detect . . .
  

   

  

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