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Leveraging textual information for social media news categorization and sentiment analysis.

The rise of social media has changed how people view connections. Machine Learning (ML)-based sentiment analysis and news categorization help understand emotions and access news. However, most studies focus on complex models requiring heavy resources and slowing inference times, making deployment di...

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Autori principali: Mahmudul Hasan, Tanver Ahmed, Md Rashedul Islam, Md Palash Uddin
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science (PLoS) 2024-01-01
Serie:PLoS ONE
Accesso online:https://doi.org/10.1371/journal.pone.0307027
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