Data classification device, data classification method, and non-transitory computer readable storage medium

A data classification device comprising:

• a conversion unit that converts input classification target data into a feature vector;
• a classification unit that provides a label to the classification target data on the basis of the feature vector output by the conversion unit;
• and
• a learning unit that learns conversion processing of the conversion unit, using accumulated data of the input classification target data, as learning data.

A data classification method comprising:

• a conversion step of converting input classification target data into a feature vector;
• a classification step of providing a label to the classification target data on the basis of the feature vector output by the conversion step;
• a first learning step of learning conversion processing of the converting step, using accumulated data of the input classification target data, as first learning data;
• and
• a second learning step of learning classification processing of the classification step, using second learning data in which a label has been provided to data of a same type as the classification target data.

A non-transitory computer readable storage medium having stored therein a control program causing a computer to execute a process, the process comprising:

• a conversion unit that converts input classification target data into a feature vector;
• a classification unit that provides a label to the classification target data on the basis of the feature vector output by the conversion unit;
• and
• a first learning unit that learns conversion processing of the conversion unit, using accumulated data of the input classification target data, as first learning data;
• and
• a second learning unit that 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.