Semantic Sentiment Classification for COVID-19 Tweets Using Universal Sentence Encoder

The spread of data on the web has increased in the last twenty years. One of the reasons is the appearance of social media. The data on social sites describe many real-life events in our daily lives. In the period of the COVID-19 pandemic, a lot of people and media organizations were writing and doc...

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Detalles Bibliográficos
Autores principales: Fattoh, Ibrahim Eldesouky, Kamal Alsheref, Fahad, Ead, Waleed M., Youssef, Ahmed Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556213/
https://www.ncbi.nlm.nih.gov/pubmed/36248924
http://dx.doi.org/10.1155/2022/6354543

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556213/
https://www.ncbi.nlm.nih.gov/pubmed/36248924
http://dx.doi.org/10.1155/2022/6354543

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