Storage medium, apparatus, and method for information processing

An information processing apparatus, comprising:

• an evaluating unit that evaluates a plurality of learning models;
• a displaying unit that displays an evaluation result of the evaluating unit;
• a selecting unit that selects a first learning model from the plurality of learning models displayed by the displaying unit;
• an estimating unit that estimates attribute information to be applied to document information, in accordance with the first learning model;
• and
• a learning unit that executes learning by using at least one of the plurality of learning models while the document information with the attribute information estimated by the estimating unit applied serves as an input.

A non-transitory computer readable medium storing a program causing a computer to execute a process for information processing, the process comprising:

• evaluating a plurality of learning models;
• selecting a learning model corresponding to an evaluation result that satisfies a predetermined condition from the plurality of learning models, as a first learning model;
• estimating attribute information to be applied to document information, in accordance with the first learning model;
• and
• executing learning by using at least one of the plurality of learning models while the document information with the attribute information applied by the estimation serves as an input.

An information processing apparatus, comprising:

• an evaluating unit that evaluates a plurality of learning models;
• a selecting unit that selects a learning model corresponding to an evaluation result that satisfies a predetermined condition from the plurality of learning models, as a first learning model;
• an estimating unit that estimates attribute information to be applied to document information, in accordance with the first learning model;
• and
• a learning unit that executes learning by using at least one of the plurality of learning models while the document information with the attribute information applied by the estimating unit serves as an input.

An information processing method, comprising:

• evaluating a plurality of learning models;
• displaying an evaluation result of the evaluation;
• selecting a first learning model from the displayed plurality of learning models;
• estimating attribute information to be applied to document information, in accordance with the first learning model;
• and
• executing learning by using at least one of the plurality of learning models while the document information with the estimated attribute information applied serves as an input.