Cargando…
Using Social Media Data to Understand Consumers' Information Needs and Emotions Regarding Cancer: Ontology-Based Data Analysis Study
BACKGROUND: Analysis of posts on social media is effective in investigating health information needs for disease management and identifying people’s emotional status related to disease. An ontology is needed for semantic analysis of social media data. OBJECTIVE: This study was performed to develop a...
Autores principales: | Lee, Jooyun, Park, Hyeoun-Ae, Park, Seul Ki, Song, Tae-Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752532/ https://www.ncbi.nlm.nih.gov/pubmed/33284127 http://dx.doi.org/10.2196/18767 |
Ejemplares similares
-
Understanding the Public’s Emotions about Cancer: Analysis of Social Media Data
por: Park, Seul Ki, et al.
Publicado: (2020) -
A Determinants-of-Fertility Ontology for Detecting Future Signals of Fertility Issues From Social Media Data: Development of an Ontology
por: Lee, Ji-Hyun, et al.
Publicado: (2021) -
Correction: A Determinants-of-Fertility Ontology for Detecting Future Signals of Fertility Issues From Social Media Data: Development of an Ontology
por: Lee, Ji-Hyun, et al.
Publicado: (2021) -
Sentiment Analysis of Social Media on Childhood Vaccination: Development of an Ontology
por: On, Jeongah, et al.
Publicado: (2019) -
Development and Evaluation of an Obesity Ontology for Social Big Data Analysis
por: Kim, Ae Ran, et al.
Publicado: (2017)