Input support apparatus, method, and storage medium

A method comprising:

• detecting a division position in input data and dividing the input data into a plurality of division units;
• acquiring an estimation code by estimating a classification code of the input data by using a classification model that receives an input of data and estimates the classification code in a classification system;
• classifying the classification code into a plurality of clusters using explanatory information of the classification code and constructing a cluster space by embedded expression;
• calculating a cluster similarity between the input data and the cluster by using the cluster space;
• outputting an estimation result indicating an estimation result of the classification code by the classification model;
• and
• balancing a method of outputting the estimation code based on the cluster similarity.

A non-transitory computer-readable storage medium storing a program for causing a computer to execute:

• a function to detect a division position in input data and divide the input data into a plurality of division units;
• a function to acquire an estimation code by estimating a classification code of the input data by using a classification model that receives an input of data and estimates the classification code in a classification system;
• a function to classify the classification code into a plurality of clusters using explanatory information of the classification code and construct a cluster space by embedded expression;
• a function to calculate a cluster similarity between the input data and the cluster by using the cluster space;
• a function to output an estimation result indicating an estimation result of the classification code by the classification model;
• and
• a function to adjust a method of outputting the estimation code based on the cluster similarity.