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 Jung 1 Author Orcid Image ;   Hyeoun-Ae Park 1 Author Orcid Image ;   Tae-Min Song 2 Author Orcid Image

Journals

  1. Zheng Z, Yang Q, Liu Z, Qiu J, Gu J, Hao Y, Song C, Jia Z, Hao C. Associations Between Affective States and Sexual and Health Status Among Men Who Have Sex With Men in China: Exploratory Study Using Social Media Data. Journal of Medical Internet Research 2020;22(1):e13201 View
  2. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  3. On J, Park H, Song T. Sentiment Analysis of Social Media on Childhood Vaccination: Development of an Ontology. Journal of Medical Internet Research 2019;21(6):e13456 View
  4. Hipson W. Using sentiment analysis to detect affect in children’s and adolescents’ poetry. International Journal of Behavioral Development 2019;43(4):375 View
  5. Jing X, Hardiker N, Kay S, Gao Y. Identifying Principles for the Construction of an Ontology-Based Knowledge Base: A Case Study Approach. JMIR Medical Informatics 2018;6(4):e52 View
  6. Giuntini F, Cazzolato M, dos Reis M, Campbell A, Traina A, Ueyama J. A review on recognizing depression in social networks: challenges and opportunities. Journal of Ambient Intelligence and Humanized Computing 2020;11(11):4713 View
  7. Zunic A, Corcoran P, Spasic I. Sentiment Analysis in Health and Well-Being: Systematic Review. JMIR Medical Informatics 2020;8(1):e16023 View
  8. Song J, Han Y, Kim K, Song T. Social big data analysis of future signals for bullying in South Korea: Application of general strain theory. Telematics and Informatics 2020;54:101472 View
  9. Castillo-Sánchez G, Marques G, Dorronzoro E, Rivera-Romero O, Franco-Martín M, De la Torre-Díez I. Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review. Journal of Medical Systems 2020;44(12) View
  10. Lee J, Lee J, Park S. An Ontology of Intimate Partnerships for Social Big Data Research. Journal of Families and Better Life 2020;38(4):1 View
  11. Rassy J, Bardon C, Dargis L, Côté L, Corthésy-Blondin L, Mörch C, Labelle R. Information and Communication Technology Use in Suicide Prevention: Scoping Review. Journal of Medical Internet Research 2021;23(5):e25288 View
  12. Dragos V, Battistelli D, Kellodjoue E. A formal representation of appraisal categories for social data analysis. Procedia Computer Science 2020;176:928 View
  13. Lee J, Park H, Park S, Song T. Using Social Media Data to Understand Consumers' Information Needs and Emotions Regarding Cancer: Ontology-Based Data Analysis Study. Journal of Medical Internet Research 2020;22(12):e18767 View

Books/Policy Documents

  1. Wang D, Xu L, Younas A. Machine Learning and Data Mining in Pattern Recognition. View
  2. López-Martínez A, García-Díaz J, Valencia-García R, Ruiz-Martínez A. Technologies and Innovation. View
  3. Singla S. Ontology‐Based Information Retrieval for Healthcare Systems. View
  4. Bhatia S, Kesarwani Y, Basantani A, Jain S. Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. View
  5. Bandyopadhyay A, Shenoy K. Advances in Information and Communication. View