A Hybrid and Explainable Feature Fusion Framework for Multi-Class Emotion Classification in Turkish Texts
Multi-class emotion classification in Turkish texts remains challenging due to the language’s agglutinative structure, morphological richness, and semantic overlap among emotion categories. To overcome these challenges, this research develops a hybrid framework that integrates lexical TF-IDF features with contextual re...