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, which combines facets of supervised and unsupervised methods. This technique takes advantage of a small degree of labeled data and a larger quantity of unlabeled data, therefore enhancing learning accuracy whilst lowering the need for labeled data, which may be time and labor intensive to procure.Make information additional useful and accessible