Multimodal Sentiment Analysis Using Deep Learning and Metaheuristic Optimization
Language: English
Published by Nala Kala Aug 2026, 2026
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 27.93
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware 158 pp. Englisch.
Seller Inventory # 9798240869211
- Title
- Multimodal Sentiment Analysis Using Deep Learning and Metaheuristic Optimization
- Author
- Dawn Fover
- Publisher
- Nala Kala Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798240869211
- Item weight
- 240 grams
- Dimensions
- 229x152x9 mm
Multimodal sentiment analysis combines information from different data modalities to identify and interpret opinions, emotions, & attitudes. This book examines deep learning methods for sentiment analysis and the role of metaheuristic optimization in improving computational models. It presents multimodal data processing, feature representation, neural network learning, classification, and optimization. Attention is given to integrating textual and complementary signals for sentiment-oriented analysis and pattern recognition. Deep learning provides foundation for complex representations, while metaheuristic optimization offers strategies for exploring model parameters and improving solution quality. The book brings these methods together within the computational framework relevant to natural language processing, machine learning (ML), artificial intelligence, data mining, and pattern recognition. Students and engineers can use it to study multimodal sentiment analysis and deep learning.
"Synopsis" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
Shipping rates from Germany to U.S.A.
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BuchWeltWeit Ludwig Meier e.K.
Germany
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