Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024) 2024
DOI: 10.1117/12.3034918
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Convolution SSM model for text emotion classification

Jiaxin Shi,
Mingyue Xiang

Abstract: In the pursuit of advanced human-machine interactions, the ability to detect emotions in textual data emerges as a crucial element for imbuing machines with empathetic communication capabilities. This paper proposes a theoretical framework for the Convolution Selective State Space Model (ConvSSM), a deep learning model designed to discern and classify the emotions conveyed through text. Unlike conventional analysis models, the ConvSSM is designed to accommodate a wide array of emotional expressions, thereby ca… Show more

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