Cargando…
An improved machine learning technique for identify informative COVID-19 tweets
Twitter users are increasingly using the platform to share information, particularly in the case of disease outbreaks such as COVID-19. It's difficult to find informative tweets about coronavirus on Twitter. Recognizing tweets associated with disease evaluation in social media is a critical end...
Autores principales: | Malla, Sreejagadeesh, Alphonse, P. J. A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261178/ http://dx.doi.org/10.1007/s13198-022-01707-0 |
Ejemplares similares
-
COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets
por: Malla, SreeJagadeesh, et al.
Publicado: (2021) -
Fake or real news about COVID-19? Pretrained transformer model to detect potential misleading news
por: Malla, SreeJagadeesh, et al.
Publicado: (2022) -
Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic
por: To, Quyen G., et al.
Publicado: (2021) -
Comparing tweet sentiments in megacities using machine learning techniques: In the midst of COVID-19
por: Yao, Zhirui, et al.
Publicado: (2021) -
Identifying COVID-19 english informative tweets using limited labelled data
por: Kothuru, Srinivasulu, et al.
Publicado: (2023)