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Identifying emotional polarization in a medical report is important in screening, acquiring and synthesizing knowledge of physicians before making a clinical decision. We consider this as a classification problem whose input is a set of sentences collected from medical articles and output is the polarization of each sentence labeled as a positive, negative or neutral one. In this paper, we propose...
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