A novel framework for seasonal affective disorder detection: Comprehensive machine learning analysis using multimodal social media data and SMOTE

A novel framework for seasonal affective disorder detection: Comprehensive machine learning analysis using multimodal social media data and SMOTE

Seasonal Affective Disorder (SAD) is a mood disorder characterized by recurring depressive episodes during specific seasons, particularly in Fall and Winter. With the rise of social media as a platform for self-expression, user-generated content offers valuable insights into mental health trends, pr...

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Bibliographic Details
Main Authors: Md. Shamshuzzoha, Tazkia Tasnim Bahar Audry, Md. Jahangir Alam, Zaheed Ahmed Bhuiyan, Md Motaharul Islam, Mohammad Mehedi Hassan
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Acta Psychologica
Subjects:
SAD
Social media analytics
Sentiment analysis
SAD detection
ML
SMOTE
Online Access:http://www.sciencedirect.com/science/article/pii/S000169182500318X
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