Evaluation Device, Evaluation Method, Evaluation Program, and Evaluation System

An evaluation device comprising:

• an acquisition unit for acquiring m rows×n columns of sample data, where m and n are integers;
• a conversion unit for extracting I character types from the sample data to convert the sample data to three-dimensional data with m rows×n columns×I character types, where I is an integer;
• a learning unit for learning a feature of the three-dimensional data converted by the conversion unit;
• and
• an evaluation unit for evaluating input data based on the feature learned by the learning unit.

An evaluation device comprising:

• an acquisition unit for acquiring two-dimensional data represented by a plurality of character types;
• a conversion unit for converting the two-dimensional data to three-dimensional data by classifying the acquired two-dimensional data into a dimension of the plurality of character types;
• an analysis unit for analyzing a feature of the three-dimensional data;
• and
• an evaluation unit for evaluating input data described in the plurality of character types based on the feature analyzed by the analysis unit.

An evaluation system comprising:

• a learning module for learning a feature of text data;
• and
• an evaluation module for evaluating the text data,
• wherein the learning module comprises:
• an acquisition unit for acquiring two-dimensional data represented by a plurality of character types from data base;
• a conversion unit for converting the two-dimensional data to three-dimensional data by classifying the acquired two-dimensional data into a dimension of the plurality of character types;
• and
• a learning unit for analyzing and learning a feature of the three-dimensional data;
• and the evaluation module comprises:
• a converting unit for converting input data to three-dimensional input data by classifying the input data to be evaluated into a dimension of the plurality of character types;
• and
• an evaluation unit for evaluating the input data by comparing a feature of the three-dimensional input data converted by the conversion unit with the feature learned by the learning unit.

An evaluation method performed by a computer, the method comprising:

• acquiring m rows×n columns sample data, where m and n are integers;
• extracting I character types from the sample data to convert the sample data to three-dimensional data with m rows×n columns×character types I, where I is an integer;
• learning a feature of the converted three-dimensional data;
• and
• evaluating input data based on the learned feature.

An evaluating method performed by a computer, the method comprising:

• acquiring two-dimensional data represented by a plurality of character types;
• converting the two-dimensional data to three-dimensional data by classifying the acquired two-dimensional data into a dimension of the plurality of character types;
• analyzing a feature of the three-dimensional data;
• and
• evaluating input data described in the plurality of character types based on the analyzed feature.

A non-transitory storage medium storing an evaluation program that can be performed by a computer, the evaluation program causing the computer to perform the steps of:

• acquiring m rows×n columns sample data, where m and n are integers;
• extracting I character types from the sample data to convert the sample data to three-dimensional data with m rows×n columns×character types I, where I is an integer;
• learning a feature of the converted three-dimensional data;
• and
• evaluating input data based on the learned feature.

A non-transitory storage medium storing an evaluation program that can be performed by a computer, the evaluation program causing the computer to perform the steps of:

• acquiring two-dimensional data represented by a plurality of character types;
• converting the two-dimensional data to three-dimensional data by classifying the acquired two-dimensional data into a dimension of the plurality of character types;
• analyzing a feature of the three-dimensional data;
• and
• evaluating input data described in the plurality of character types based on the analyzed feature.