Mental Health Analysis in Social Media Posts: A Survey

Author:

Garg MuskanORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications

Reference154 articles.

1. Tadesse MM, Lin H, Xu B, Yang L (2020) Detection of suicide ideation in social media forums using deep learning. Algorithms 13(1):7

2. Cao L, Zhang H, Feng L (2020) Building and using personal knowledge graph to improve suicidal ideation detection on social media. IEEE Trans Multimed. https://doi.org/10.1109/tmm.2020.3046867

3. Almeida H, Briand A, Meurs M-J (2017) Detecting early risk of depression from social media user-generated content. In: CLEF (working notes), 2017

4. Amini P, Ahmadinia H, Poorolajal J, Amiri MM (2016) Evaluating the high risk groups for suicide: a comparison of logistic regression, support vector machine, decision tree and artificial neural network. Iran J Public Health 45(9):1179

5. Roy A, Nikolitch K, McGinn R, Jinah S, Klement W, Kaminsky ZA (2020) A machine learning approach predicts future risk to suicidal ideation from social media data. NPJ Digit Med 3(1):1–12

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