The official corpus - initial version for "HelaDepDet: A Novel Multi-Class Classification Model for Detecting the Severity of Human Depression" paper under the ongoing research work "The Correlation between Group Text Chat Behavior and Severity of Human Depression"
This is an aggregated dataset of publicly available corpora for human depression severity categorization. The categorization has been conducted considering BDI-3 and Depression Severity Annotation Schema (DSAS) as the ground truth.
The respective depression severity class and BDI-3 scale can be tabulated as follows:
| Depression Severity Class | BDI-3 Score |
|---|---|
| Minimal | 0-9 |
| Mild | 10-18 |
| Moderate | 19-29 |
| Severe | 30-63 |
The corpus file consists with two columns and the class distribution can be revealed as follows:
| Depression Severity Class | Count |
|---|---|
| Minimal | 10,549 |
| Mild | 10,661 |
| Moderate | 9,473 |
| Severe | 11,176 |
Further, the depression lexicon which has been introduced by Cha, Kim and Park 2022 will be used for further enhancements and the lexicon can be listed down as follows.
| DSAS Criteria | Lexicon |
|---|---|
| Depressed mood most of the day, nearly every day | sadness, anger, bored, hurt, nervousness, moody, emotional |
| Markedly diminished interest or pleasure in activities most of the day, nearly every day | discomfort, unhappy, no-focus,disturbed |
| Changes in appetite that result in weight losses or gains unrelated to dieting | loss of appetite, overeating, weight loss |
| Changes in sleeping patterns | light sleep, waking up early, short sleep, dreamy |
| Loss of energy or increased fatigue | bored, useless, isolation, low interaction, fatigue |
| Restlessness or irritability | uneasiness, instability |
| Feelings of anxiety | stress, pain |
| Feelings of worthlessness, helplessness, or hopelessness | useless, hopeless, helpless, lonely |
| Inappropriate guilt | low self-esteem |
| Difficulty thinking, concentrating, or making decisions | hesitate, tired |
| Thoughts of death or attempts at suicide | long-term grief, hopelessness, end-of-my-life, die, suicide, killmyself, suicidal, broken, worthless, self-harm |
[1] Usman Naseem, Adam G. Dunn, Jinman Kim, and Matloob Khushi. 2022. Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. In Proceedings of the ACM Web Conference 2022 (WWW '22). Association for Computing Machinery, New York, NY, USA, 2563–2572. https://doi.org/10.1145/3485447.3512128
[2] Sampath, K., Durairaj, T. 2022. Data Set Creation and Empirical Analysis for Detecting Signs of Depression from Social Media Postings. In: Kalinathan, L., R., P., Kanmani, M., S., M. (eds) Computational Intelligence in Data Science. ICCIDS 2022. IFIP Advances in Information and Communication Technology, vol 654. Springer, Cham. https://doi.org/10.1007/978-3-031-16364-7_11
[3] Cha, J., Kim, S. & Park, E. 2022 A lexicon-based approach to examine depression detection in social media: the case of Twitter and university community. Humanit Soc Sci Commun 9, 325. https://doi.org/10.1057/s41599-022-01313-2