Candidate data ranking method using previously selected candidate data

A method for sorting data, comprising:

• a. receiving, at a non-transitory computer memory, criteria data;
• b. receiving, at the non-transitory computer memory, candidate data, wherein the candidate data comprises audio data responding to a first prompt and a second prompt, wherein the audio data comprises:
• a first portion audio data responding to the first prompt, and
• a second portion audio data responding to the second prompt;
• c. storing the candidate data in a candidate profile in a candidate database;
• d. evaluating the candidate data, by a processor, wherein evaluating the candidate data comprises:
• i. comparing the audio data to a database of successfully-selected candidates to determine an N-gram analysis result for the candidate data, wherein comparing the audio data to the database of successfully-selected candidates comprises:
• creating a first textual transcript of the audio data for the first portion audio data;
• removing stop words from the first textual transcript;
• creating a first N-gram data set based on the first textual transcript with stop words removed;
• comparing the first N-gram data set of the candidate data to a first N-gram data set of the successfully-selected candidates, wherein the first N-gram data set of the successfully-selected candidates is determined by responses of successfully-selected candidates to the first prompt;
• creating a second textual transcript of the audio data for the second portion audio data;
• removing stop words from the first textual transcript;
• creating a second N-gram data set based on the second textual transcript with stop words removed;
• comparing the second N-gram data set of the candidate data to a second N-gram data set of the successfully-selected candidates, wherein the second N-gram data set of the successfully-selected candidates is determined by responses of successfully-selected candidates to the second prompt;
• and
• compiling the comparison of the first N-gram data set and the comparison of the second N-gram data set determine the N-gram analysis result for the audio data;
• e. sorting the candidate data within a plurality of other candidate data using the N-gram analysis result.

A method of populating a successfully-selected candidate database for a first type of open opportunity, comprising:

• a. receiving, at a non-transitory computer memory, criteria data from a user regarding an open opportunity of the first type;
• b. receiving, at the non-transitory computer memory, first candidate data, wherein the first candidate data comprises geographical location data, and audio data of a first candidate responding to a first prompt and a second prompt, wherein the audio data comprises:
• i. a first portion audio data of the first candidate responding to the first prompt, and
• ii. a second portion audio data of the first candidate responding to the second prompt;
• c. storing first candidate data in a first candidate profile in a candidate database;
• d. receiving, by a processor, an indication that the first candidate was selected for the open opportunity;
• e. saving the first candidate data in a successfully-selected candidate database for open opportunities of the first type, wherein the first candidate data comprises:
• i. a first N-gram data set;
• wherein the first N-gram data set is created by:
• creating a first textual transcript of the audio data for the first portion audio data;
• removing stop words from the first textual transcript;
• and
• forming a plurality of N-grams based on the first textual transcript with stop words removed, wherein the first N-gram data set comprises the plurality of N-grams;
• and
• ii. a second N-gram data set;
• wherein the second N-gram data set is created by:
• creating a second textual transcript of the audio data for the second portion audio data;
• removing stop words from the second textual transcript;
• and
• forming a plurality of N-grams based on the second textual transcript with stop words removed, wherein the first N-gram data set comprises the plurality of N-grams.