Cargando…
Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data
Depression in adolescence is recognized as an important social and public health issue that interferes with continued physical growth and increases the likelihood of other mental disorders. The goal of this study was to examine online documents posted by South Korean adolescents for 3 years through...
Autores principales: | Song, Juyoung, Song, Tae-Min, Lee, Sangho, Seo, Dong-Chul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487740/ https://www.ncbi.nlm.nih.gov/pubmed/37681805 http://dx.doi.org/10.3390/ijerph20176665 |
Ejemplares similares
-
Application of Social Big Data to Identify Trends of School Bullying Forms in South Korea
por: Kim, Hayoung, et al.
Publicado: (2019) -
Perceived barriers to psychiatric help-seeking in South Korea by age groups: text mining analyses of social media big data
por: Seo, Hwo Yeon, et al.
Publicado: (2022) -
Korean adolescents’ coping strategies on self-harm, ADHD, insomnia during COVID-19: text mining of social media big data
por: Do, Ryemi, et al.
Publicado: (2023) -
Text-Mining and the History of Medicine: Big Data, Big
Questions?
por: Toon, Elizabeth, et al.
Publicado: (2016) -
SparkText: Biomedical Text Mining on Big Data Framework
por: Ye, Zhan, et al.
Publicado: (2016)