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

• Published in: Multimedia tools and applications Vol. 83; no. 18; pp. 54249 - 54278
• Main Authors: P, Ganesh Kumar, S, Arul Antran Vijay, V, Jothi Prakash, Paul, Anand, Nayyar, Anand
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2024; Springer Nature B.V
• Subjects: 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; Deep learning; Gated recurrent unit; Multimedia analysis; Sentiment analysis; Information retrieval; 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...