Cargando…
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
The spread of Covid-19 has resulted in worldwide health concerns. Social media is increasingly used to share news and opinions about it. A realistic assessment of the situation is necessary to utilize resources optimally and appropriately. In this research, we perform Covid-19 tweets sentiment analy...
Autores principales: | Rustam, Furqan, Khalid, Madiha, Aslam, Waqar, Rupapara, Vaibhav, Mehmood, Arif, Choi, Gyu Sang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906356/ https://www.ncbi.nlm.nih.gov/pubmed/33630869 http://dx.doi.org/10.1371/journal.pone.0245909 |
Ejemplares similares
-
Tweets Classification on the Base of Sentiments for US Airline Companies
por: Rustam, Furqan, et al.
Publicado: (2019) -
Deepfake tweets classification using stacked Bi-LSTM and words embedding
por: Rupapara, Vaibhav, et al.
Publicado: (2021) -
Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning
por: Cole-Lewis, Heather, et al.
Publicado: (2015) -
A Performance Comparison of Unsupervised Techniques for Event Detection from Oscar Tweets
por: Malik, Muzamil, et al.
Publicado: (2022) -
Breast Cancer Prediction Using Fine Needle Aspiration Features and Upsampling with Supervised Machine Learning
por: Shafique, Rahman, et al.
Publicado: (2023)