A fusion of social media context for efficient multimodal sentiment analysis using deep learning techniques
Abstract The exponential growth of social media has generated vast amounts of multimodal data, including text, audio, and contextual information, offering valuable insights into user sentiments. This study proposes a systematic multimodal sentiment analysis framework that integrates diverse social m...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer
2026-03-01
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| Edice: | Discover Artificial Intelligence |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/s44163-026-00986-x |
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