This paper is in the following e-collection/theme issue:

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Depression and Mood Disorders; Suicide Prevention (1363) Ontologies, Classifications, and Coding (239) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 19, No 7 (2017): July

Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals

Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals

Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals

Authors of this article:

Hyesil Jung1 Author Orcid Image ;   Hyeoun-Ae Park1 Author Orcid Image ;   Tae-Min Song2 Author Orcid Image
Article Authors Cited by (40) Tweetations (9) Metrics

Hyesil Jung   1 , RN, MSN ;   Hyeoun-Ae Park   1 , RN, PhD, FAAN ;   Tae-Min Song   2 , PhD

1 College of Nursing, Seoul National University, Seoul, Republic of Korea

2 Department of Health Management, Sahmyook University, Seoul, Republic of Korea

Corresponding Author:

  • Hyeoun-Ae Park, RN, PhD, FAAN
  • College of Nursing
  • Seoul National University
  • Daehak-ro 103, Jongno-gu
  • Seoul, 03080
  • Republic of Korea
  • Phone: 82 27408827
  • Fax: 82 27654103
  • Email: hapark@snu.ac.kr