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Sotarat Thammaboosadee. A two-stage text-to-emotion depressive disorder screening assistance based on content from online communities. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2020.
A two-stage text-to-emotion depressive disorder screening assistance based on content from online communities
Name: Supawit Marerngsit
Organization :
Mahidol University. Faculty of Engineering
Email :
supawit.mar@student.mahidol.edu
Name: Sotarat Thammaboosadee
Organization :
Mahidol University. Faculty of Engineering
Email :
Sotarat.tha@mahidol.ac.th
LCSH:
Depression, Mental
-- Diagnosis
LCSH:
Emotion recognition
Abstract:
Major Depressive Disorder (MDD) is one of the most significant medical problems. The total number of people living with depression in the world is more than 300 million. Nowadays, people use social communities to communicate with each other and express their mindset and emotion that are the sign of depression sealed under their feelings and could be the cause of suicide. This research proposes a two-stage predictive model for major depressive disorder risk screening assistance by using emotion values based on textual data from social community. The contents from social community are identified six emotional dimensions; angry, bored, excited, fear, happy, and sad. These emotions are then categorized into emotion-based clusters using DBSCAN algorithm and examined by medical and psychological experts with Patient Health Questionnaire-2 (PHQ-2). The labeled clusters is used to train and optimize classification model for each screening question with several algorithms; Decision Tree (DT), Random Forest (RF), and Gradient Boosted Tree (GBT). The experimental result shows that the GBT is the best model for Q1 and the RF is the best model for Q2 with 98.32% and 99.98% accuracy respectively. This research will be beneficial in the further study in identifying depression from text-based emotion
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2020
Modified:
2026-01-15
Issued:
2026-01-15
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering Academic Association (Thailand). 2020 8th International Electrical Engineering Congress (iEECON 2020) (pp.236-239). Red Hook, NY : Institute of Electrical and Electronics Engineers
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.031755 วินาที
Supawit Marerngsit
| Title | Contributor | Type |
|---|---|---|
| A two-stage text-to-emotion depressive disorder screening assistance based on content from online communities
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Supawit Marerngsit;Sotarat Thammaboosadee | บทความ/Article |
Sotarat Thammaboosadee
| Title | Contributor | Type |
|---|---|---|
| Formulating analytical governance frameworks : an integration of data and AI governance approaches
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Thanika Kanying;Sotarat Thammaboosadee;Rojjalak Chuckpaiwong | บทความ/Article | |
| A two-stage text-to-emotion depressive disorder screening assistance based on content from online communities
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Supawit Marerngsit;Sotarat Thammaboosadee | บทความ/Article |