Sharonda Wallace

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We propose an algorithm to effectively cluster a specific type of text documents: textual responses gathered through a survey system. Due to the peculiar features exhibited in such responses (e.g., short in length, rich in outliers, and diverse in categories), traditional unsupervised and semi-supervised clustering * techniques are challenged to achieve(More)
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