A Systematic Literature Review on Multimodal Sentiment Analysis using Deep learning techniques

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Systematic literature review explores multimodal sentiment analysis and deep learning methods, indicating potential for improved emotion assessment.

Multimodal sentiment analysis enhances understanding of emotions by integrating verbal and non-verbal cues, providing richer insights.
This review examines advanced deep learning methods and fusion techniques that improve the effectiveness of sentiment analysis.
Available datasets for multimodal sentiment analysis are discussed, indicating a variety of sources that researchers can leverage.
Future directions focus on developing robust and scalable MSA systems for real-world applications, addressing current limitations.

Bargavi et al. (2025) studied this question.

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Systematic literature review explores multimodal sentiment analysis and deep learning methods, indicating potential for improved emotion assessment.