Cargando…
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets
COVID-19, caused by SARS-CoV2 infection, varies greatly in its severity but presents with serious respiratory symptoms with vascular and other complications, particularly in older adults. The disease can be spread by both symptomatic and asymptomatic infected individuals. Uncertainty remains over ke...
Autores principales: | Satu, Md. Shahriare, Khan, Md. Imran, Mahmud, Mufti, Uddin, Shahadat, Summers, Matthew A., Quinn, Julian M.W., Moni, Mohammad Ali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099549/ https://www.ncbi.nlm.nih.gov/pubmed/33972817 http://dx.doi.org/10.1016/j.knosys.2021.107126 |
Ejemplares similares
-
Tweets Classification on the Base of Sentiments for US Airline Companies
por: Rustam, Furqan, et al.
Publicado: (2019) -
Making sense of tweets using sentiment analysis on closely related topics
por: Bhatnagar, Sarvesh, et al.
Publicado: (2021) -
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes
por: Howlader, Koushik Chandra, et al.
Publicado: (2022) -
Improved Transfer-Learning-Based Facial Recognition Framework to Detect Autistic Children at an Early Stage
por: Akter, Tania, et al.
Publicado: (2021) -
Knowledge-Based Tweet Classification for Disease Sentiment Monitoring
por: Ji, Xiang, et al.
Publicado: (2016)