Cargando…
Predicting age groups of Twitter users based on language and metadata features
Health organizations are increasingly using social media, such as Twitter, to disseminate health messages to target audiences. Determining the extent to which the target audience (e.g., age groups) was reached is critical to evaluating the impact of social media education campaigns. The main objecti...
Autores principales: | Morgan-Lopez, Antonio A., Kim, Annice E., Chew, Robert F., Ruddle, Paul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574558/ https://www.ncbi.nlm.nih.gov/pubmed/28850620 http://dx.doi.org/10.1371/journal.pone.0183537 |
Ejemplares similares
-
Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation
por: Chew, Robert, et al.
Publicado: (2021) -
Correction: Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation
por: Chew, Robert, et al.
Publicado: (2021) -
Classification of Twitter Users Who Tweet About E-Cigarettes
por: Kim, Annice, et al.
Publicado: (2017) -
Comparing Twitter and Online Panels for Survey Recruitment of E-Cigarette Users and Smokers
por: Guillory, Jamie, et al.
Publicado: (2016) -
MaTED: Metadata-Assisted Twitter Event Detection System
por: Pandya, Abhinay, et al.
Publicado: (2020)