Importance

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Abstract

A data classification device according to the present application includes a conversion unit, a classification unit, a first learning unit, and a second learning unit. The conversion unit converts input classification target data into a feature vector. The classification unit provides a label to the classification target data on the basis of the feature vector output by the conversion unit. The first learning unit learns conversion processing of the conversion unit, using accumulated data of the input classification target data, as first learning data. The second learning unit learns classification processing of the classification unit, using second learning data in which a label has been provided to data of a same type as the classification target data.

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First Claim