Application of Multimodal Discourse Analysis Based on Knowledge Management in Diplomatic Language Strategy: Knowledge Management in Diplomatic Language

Abstract

This article examines the limitations of non-linguistic elements in foreign language communication and their impact on the effectiveness of diplomatic language strategies. It aims to improve the integration of non-linguistic elements, such as body language, facial expressions, and tone of voice, to enhance diplomatic interactions. Using a multimodal discourse analysis framework combined with knowledge management principles, this study integrates deep learning technology to analyze text, voice, body language, and facial expressions. Experimental results show that the fusion of multimodal elements can be classified with 96.3% accuracy, significantly outperforming traditional models. The findings highlight the potential of knowledge management systems in optimizing diplomatic language strategies, offering a more effective approach to cross-cultural communication, and accelerating the development of diplomatic negotiations.