An enhanced integration of fuzzy measure and convolutional neural network for multimodal sentiment analysis
Multimodal Sentiment Analysis (MSA) is an evolving field in Natural Language Processing (NLP) that extends traditional Sentiment Analysis (SA) by analyzing opinions and emotions across multiple modalities, like video, rather than relying solely on text. The challenge of MSA lies in interpreting comp...
| 第一著者: | |
|---|---|
| フォーマット: | 学位論文 |
| 言語: | 英語 英語 英語 |
| 出版事項: |
2024
|
| 主題: | |
| オンライン･アクセス: | https://etd.uum.edu.my/11663/1/depositpermission.pdf https://etd.uum.edu.my/11663/2/s901801_01.pdf https://etd.uum.edu.my/11663/3/s901801_02.pdf |