Multimodal Sentiment Analysis Of Social Media Through Deep Learning Approach
Multimodal Data, Characterized By Its Inherent Complexity And Heterogeneity, Presents Computational Challenges In Comprehending Social Media Content. Conventional Approaches To Sentiment Analysis Often Rely On Unimodal Pre-Trained Models For Feature Extraction From Each Modality, Neglecting The I...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2024
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| 主題: | |
| オンライン・アクセス: | http://eprints.usm.my/62631/ |
| Abstract | Abstract here |
