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Enhancing emotion recognition using lexical-contextual fusion with attention-based DistilBERT

Oct 2026 · International Journal of Machine Learning and Cybernetics · Vol 17 · 0 citations · 48 references

TL;DR

A modified DistilBERT that incorporates lexical emotion representations into the transformer pipeline via a feature fusion layer with attention weighting is proposed, which enables the joint learning of semantic dependencies, lexical cues, and text embeddings, which enhances the recognition of underrepresented emotions.

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