Original paper

A textual-based featuring approach for depression detection using machine learning classifiers and social media texts

Volume: 135, Pages: 104499 - 104499
Published: Aug 1, 2021
Abstract
Depression is one of the leading causes of suicide worldwide. However, a large percentage of cases of depression go undiagnosed and, thus, untreated. Previous studies have found that messages posted by individuals with major depressive disorder on social media platforms can be analysed to predict if they are suffering, or likely to suffer, from depression. This study aims to determine whether machine learning could be effectively used to detect...
Paper Details
Title
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts
Published Date
Aug 1, 2021
Volume
135
Pages
104499 - 104499
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.