Keyword selection for skills inference

A computer program product, comprising one or more computer readable hardware storage devices having computer readable program code stored therein, said program code containing instructions executable by one or more processors of a computer system to implement a method for determining keywords from raw data, said method comprising:

• receiving, by the one or more processors, a first list of first persons and a second list of second persons, said second persons having been classified as having a higher skill level than the first persons with respect to specified skill level criteria of a specified skill;
• using, by the one or more processors, a first trained artificial intelligence model to extract, from text associated with the first persons and the second persons, a first plurality of keywords and a second plurality of keywords for each first person and each second person, respectively, each extracted keyword independently consisting of either a single word or two words;
• using, by the one or more processors, a second trained artificial intelligence model to determine a similarity score for each keyword of the first plurality of keywords and for each keyword of the second plurality of keywords, said similarity score being zero for each keyword consisting of a single word and being a numerical measure of similarity between the two words in each keyword consisting of two words;
• determining, by the one or more processors, a keyword frequency rank, a mean similarity rank, and a person frequency rank for each keyword of the first plurality of keywords and for each keyword of the second plurality of keywords;
• computing a composite score as a function of the keyword frequency rank, the similarity rank, and the person frequency rank for each keyword of the first plurality of keywords and for each keyword of the second plurality of keywords;
• and
• generating, by the one or more processors, a final list of keywords consisting of keywords in the second plurality of keywords based on the composite score of all of the keywords in both the first plurality of keywords and the second plurality of keywords.

A computer system, comprising one or more processors, one or more memories, and one or more computer readable hardware storage devices, said one or more hardware storage devices containing program code executable by the one or more processors via the one or more memories to implement a method for determining keywords from raw data, said method comprising:

• receiving, by the one or more processors, a first list of first persons and a second list of second persons, said second persons having been classified as having a higher skill level than the first persons with respect to specified skill level criteria of a specified skill;
• using, by the one or more processors, a first trained artificial intelligence model to extract, from text associated with the first persons and the second persons, a first plurality of keywords and a second plurality of keywords for each first person and each second person, respectively, each extracted keyword independently consisting of either a single word or two words;
• using, by the one or more processors, a second trained artificial intelligence model to determine a similarity score for each keyword of the first plurality of keywords and for each keyword of the second plurality of keywords, said similarity score being zero for each keyword consisting of a single word and being a numerical measure of similarity between the two words in each keyword consisting of two words;
• determining, by the one or more processors, a keyword frequency rank, a mean similarity rank, and a person frequency rank for each keyword of the first plurality of keywords and for each keyword of the second plurality of keywords;
• computing a composite score as a function of the keyword frequency rank, the similarity rank, and the person frequency rank for each keyword of the first plurality of keywords and for each keyword of the second plurality of keywords;
• generating, by the one or more processors, a third and fourth plurality of keywords comprising only those keywords in the first plurality of keywords and in the second plurality of keywords, respectively, whose composite score is equal to or greater than a specified composite score threshold that is a positive real number;
• and
• generating, by the one or more processors, a final list of keywords consisting of (i) all keywords in the fourth plurality of keywords not existing in the third plurality of keywords and (ii) all keywords in the fourth plurality of keywords whose composite score exceeds the composite score of the same keywords in the third plurality of keywords.