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EmotiQ: A Quantum Residual Specialist Framework for Text Emotion Classification
Emotion classification from text is challenging because many affective states are distinguished by subtle linguistic signals and semantically overlapping boundaries. We investigate whether compact quantum modules can serve as targeted residual specialists that assist traditional classifiers on diffi
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