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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
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 |