Method and system for the input recognition through analogical reasoning algorithm

A computer-based artificial intelligence learning process using input recognition through an analogical reasoning algorithm (IRTARA) comprising:

• generating, via a classification algorithm, a set of top-k label predictions for a new data input;
• generating, via an analogical reasoning algorithm, word vector representations for a plurality of known class names;
• creating an unknown word vector for the new data input based on the set of top-k label predictions and the word vector representations;
• applying the unknown word vector to the analogical reasoning algorithm to identify a set of top-w closest words from a dictionary;
• and
• processing a dictionary definition for each word of the set of top-w closest words to generate one or more term frequency lists that provide a semantic characterization of the new data input.

A computer-based artificial intelligence learning process using input recognition through an analogical reasoning algorithm (IRTARA) comprising:

• selecting at least one process setting from a selection of process settings comprising a classification algorithm library providing a classification algorithm, an analogical reasoning algorithm library providing a specific analogical reasoning algorithm, a dictionary library providing a dictionary, and an input data library, comprising a known input data and a new data;
• based on an input of the known input data and the new data to the classification algorithm, generating top-k label predictions for the new data,
• based on an input of the known input data and input data labels to the analogical reasoning algorithm, generating all class names' word vector representations,
• based on an input of the top-k label predictions for the new data and the all class names' word vector representations, creating unknown word vectors for the new data and applying the unknown word vectors to the analogical reasoning algorithm to generate a top-w closest words;
• providing the top-w closest words to the dictionary to generate a top-t dictionary words and one or more term frequency lists;
• based on the term frequency lists performing an evaluation process comprising comparing the term-frequency list to dictionary-derived definitions and analogical reasoning words for the new data produced by the analogical reasoning algorithm and the dictionary.