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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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science (PLoS)
2024-01-01
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| Schriftenreihe: | PLoS ONE |
| Online-Zugang: | https://doi.org/10.1371/journal.pone.0307027 |
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