Risk factors on Depression among Korean Youth using Social Big Data

• In Event: Juveniles and Mental Illness

Abstract

The current study examines the risk factors on depression among Korean Youth using social big data. The study collects the big data about mentioning depression from different types of online channel. The analysis includes text mining and opinion mining. After text mining, the study categorized 9 different symptoms based on DSM-5(Diagnostic and Statistical Manual for mental Disorders, 5th edition; DSM-5). To provide the most effective model on prediction of risk factors on depression, association analysis and decision making tree analysis will be utilized. Policy implications based on findings will be discussed.

Authors

• Juyoung Song, Pennsylvania State University

• Taemin Song, Korea Institute for Health and Social Affairs