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August 8, 2026International Journal of Biometrics

MA-FR-DCNet: an attention-enabled faster regional-based deep convolutional network for multimodal sentiment analysis

Manju Verma Kapil Kumar Ashu Goyal Sheenam Naaz

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Key Points

This research aims to improve the accuracy of sentiment analysis by using a specialized deep convolutional network framework.
Developed an attention-enabled faster regional-based deep convolutional network architecture.
Applied multimodal inputs for comprehensive sentiment analysis.
Conducted evaluations using various sentiment datasets.
Achieved an accuracy improvement of 15% compared to traditional models.
Demonstrated faster processing times with reduced computational costs.
Showed robust performance across different sentiment analysis tasks.

Implication

Demonstrates enhanced multimodal sentiment analysis, indicating improved accuracy in emotion detection.

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Cite This Study

Verma et al. (2026) studied this question.

synapsesocial.com/papers/6a797d3a9c20a9bbd3184773 https://doi.org/10.1504/ijbm.2027.10080449

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