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Open access Oct 2026

Context-aware bidirectional recurrent network with transformer encoding for text-based emotion detection

Emotion detection is the process of recognizing the emotional state expressed through textual content. It has become an important task in Natural Language Processing (NLP) due to the growing amount of text-based communication. Moreover, the NLP techniques help to analyze textual information and classify it into differe...

Mohammad A. Mahzari, Noah N. Alsager, A. Hilal · 0 citations
Open access Oct 2026

Corpus linguistic-driven hybrid feature representation learning with graph convolutional network for text-based emotion detection

This research introduces a Hybrid Attention Learning with Graph Convolutional Network for Text-Based Emotion Detection (HALGCN-TED) framework, aiming to develop a robust and automated model to improve the representation and detection of complex emotional patterns.

Mohammad A. Mahzari, Noah N. Alsager, A. Hilal · 0 citations

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