A Broad Survey on Detection of Depression in Societal Platforms using Machine Learning Model for the Public Health Care System
Author:
Affiliation:
1. CS&AI, SR University,Warangal,506371
2. CSE, VJIT,Hyderabad,500082
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10192573/10192581/10193515.pdf?arnumber=10193515
Reference20 articles.
1. A Depression Recognition Method for College Students Using Deep Integrated Support Vector Algorithm
2. Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks
3. Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
4. Discovering Domain-Invariant Subspace for Depression Recognition by Jointly Exploiting Appearance and Dynamics Feature Representations
5. A Deep Learning Model Based on BERT and Sentence Transformer for Semantic Keyphrase Extraction on Big Social Data
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