Content classification method and classification model generation method

A content classification method comprising learning contents and contents,

• wherein the learning contents are each provided with a first feature and a learning label,
• wherein the contents are each provided with a second feature, the method comprising:
• a step of generating a plurality of first classification models by machine learning using the plurality of learning contents;
• a step of calculating average values from outputs of the plurality of first classification models;
• a step of generating a second classification model with the use of the plurality of average values;
• and
• a step of providing judgment data for the plurality of contents with the use of the second classification model and performing display on a graphical user interface.

A content classification method comprising learning contents and contents,

• wherein the learning contents are each provided with a first feature and a learning label,
• wherein the contents are each provided with a second feature, the method comprising:
• a step of generating a plurality of first classification models by machine learning using the plurality of learning contents;
• a step of evaluation by the plurality of first classification models in accordance with their respective first evaluation criteria;
• a step of evaluation by the plurality of first classification models in accordance with their respective second evaluation criteria;
• a step of generating a second classification model from evaluation results in accordance with the plurality of first evaluation criteria and evaluation results in accordance with the second evaluation criteria;
• and
• a step of providing judgment data for the plurality of contents with the use of the second classification model and performing display on a graphical user interface.