22/06/2026
ð Congratulations on International Research Publications! ð
Warmest congratulations to Jandara Suksam (Ph.D. Student) and Asst. Prof. Dr. Chatklaw Jareanpon (Supervisor) on the successful publication of two outstanding research articles in internationally recognized journals.
ð Enhancing Depression Classification from Social Media Using Transformer-Based Ensemble Models and DSM-5 Criteria
Published in *ICIC Express Letters*, Vol. 20, No. 7, 2026
ðhttp://www.icicel.org/ell/contents/2026/7/el-20-07-02.pdf
ð Transformer-Based Ensemble Learning for Symptom-Level Classification and DSM-5-Oriented Depression Screening on Social Media
Published in *Information*, Vol. 17, No. 6, Article 546, 2026
ð https://doi.org/10.3390/info17060546
These studies demonstrate the potential of advanced Artificial Intelligence, particularly Transformer-based ensemble learning approaches, to support mental health assessment through social media data analysis. By integrating machine learning techniques with the DSM-5 diagnostic framework, the research contributes to the development of more accurate and scalable approaches for depression screening and symptom-level classification.
This achievement reflects a strong commitment to high-quality research and innovation in the fields of Artificial Intelligence, Natural Language Processing, and Digital Mental Health.
Wishing both researchers continued success in their academic and research endeavors, and many more impactful contributions to the global scientific community.
ð Congratulations once again!
Depression screening from social media has increasingly benefited from transformer-based architectures; however, integrating symptom-level analysis with clinically grounded diagnostic screening remains challenging. This study proposes a unified two-phase framework for social media-based depression d...
