Mental Health Disorder Detection in a Low-Resource Language: A Case Study on Turkish Social Media Text
Mental health disorders such as suicidal ideation, bipolar disorder, depression, and anxiety pose public health challenges in Turkey. Approximately 20% of the population is estimated to be affected by some form of mental illness. Social media is used for sharing personal experiences and opinions in Turkey. This presents an opportunity to use textual data for detecting mental health disorders. This study aims to examine the predictive performance of various machine learning classifiers for identifying mental health conditions in Turkish language texts from social media. Given the lack of structured and unstructured datasets focused on Turkish mental health, we have mined and processed textual data from the social media platform Reddit. This led to the creation of the Turkish Mental Health Disorder (TMHD) Corpus. The TMHD dataset and the machine learning experiments conducted aim to improve the understanding of predicting mental health issues in Turkey using Artificial Intelligence.