Cargando…
A Biomedically oriented automatically annotated Twitter COVID-19 Dataset
The use of social media data, like Twitter, for biomedical research has been gradually increasing over the years. With the COVID-19 pandemic, researchers have turned to more non-traditional sources of clinical data to characterize the disease in near-real time, study the societal implications of int...
Autores principales: | Robles Hernandez, Luis Alberto, Callahan, Tiffany J., Banda, Juan M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cornell University
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328063/ https://www.ncbi.nlm.nih.gov/pubmed/34341767 |
Ejemplares similares
-
A biomedically oriented automatically annotated Twitter COVID-19 dataset
por: Hernandez, Luis Alberto Robles, et al.
Publicado: (2021) -
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories
por: Langguth, Johannes, et al.
Publicado: (2023) -
The Belt and Road Initiative on Twitter: An annotated dataset
por: Man, Chun-Yin, et al.
Publicado: (2022) -
A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration
por: Banda, Juan M., et al.
Publicado: (2021) -
Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations
por: Obeidat, Rasha, et al.
Publicado: (2022)