A context-sensitive multi-tier deep learning framework for multimodal sentiment analysis

One of the most appealing multidisciplinary research areas in Artificial Intelligence (AI) is Sentiment Analysis (SA). Due to the intricate and complementary interactions between several modalities, Multimodal Sentiment Analysis (MSA) is an extremely difficult work that has a wide range of applicati...

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Veröffentlicht in:	Multimedia tools and applications 2024-05, Vol.83 (18), p.54249-54278
Hauptverfasser:	P, Ganesh Kumar, S, Arul Antran Vijay, V, Jothi Prakash, Paul, Anand, Nayyar, Anand
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Artificial intelligence Artificial neural networks Computer Communication Networks Computer Science Context Data mining Data processing Data Structures and Information Theory Datasets Deep learning Feature extraction Machine learning Multidisciplinary research Multimedia Information Systems Sentiment analysis Special Purpose and Application-Based Systems
Online-Zugang:	Volltext
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