Multimodal Sentiment Analysis Using Deep Learning and Metaheuristic Optimization

Language: English

Published by Nala Kala, 2026

9798240869211

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  • New
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Seller Inventory # 9798240869211

Title
Multimodal Sentiment Analysis Using Deep Learning and Metaheuristic Optimization
Author
Dawn Fover
Publisher
Nala Kala
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 13
9798240869211
Item weight
240 grams
Dimensions
229x152x9 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 39.24US$ 50.46
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