Systems and methods for generating a personalization score for a constructed response

A computer-implemented system for generating a personalization score for a constructed response, the system comprising:

• a processing system;
• and
• computer-readable memory in communication with the processing system encoded with instructions for commanding the processing system to execute steps comprising:
• receiving, by the processing system having one or more data processors and one or more computer-readable medium encoded with instructions for commanding the processing system, a constructed response generated by a user;
• processing the constructed response with the processing system to generate one or more feature values representative of one or more aspects of the constructed response, wherein processing the constructed response comprises:
• identifying, using the processing system, words of the constructed response;
• extracting, using the processing system, features from the words of the constructed response, wherein the extracted features are indicative of a level of utility value articulated in the constructed response and comprise a total number of first person pronouns and a log frequency per 1000 words of indefinite pronouns in the constructed response;
• and
• generating, using the processing system, the one or more feature values based on the extracted features;
• generating a personalization score for the constructed response by applying a computer scoring model to the one or more feature values, the personalization score providing a measure indicative of the level of utility value articulated in the constructed response;
• and
• displaying the personalization score.

A non-transitory computer-readable storage medium for generating a personalization score for a constructed response, the computer-readable storage medium comprising computer executable instructions which, when executed, cause a processing system to execute steps including:

• receiving, by a processing system having one or more data processors for commanding the processing system, a constructed response at a tokenizer generated by a user;
• processing the constructed response with the processing system to generate one or more feature values representative of one or more aspects of the constructed response, wherein processing the constructed response comprises:
• identifying, using the processing system, words of the constructed response;
• tokenizing, using the tokenizer, the words of the constructed response into individual words;
• extracting, using the processing system, one or more features from the words of the constructed response, wherein the extracted features are indicative of a level of utility value articulated in the constructed response and comprise a log frequency per 1000 words of first person pronouns and a log frequency per 1000 words of indefinite pronouns in the constructed response;
• and
• generating the one or more feature values based on the one or more extracted features;
• generating a personalization score for the constructed response by applying a computer scoring model to the one or more feature values, the personalization score providing a measure indicative of the level of utility value articulated in the constructed response;
• and
• displaying the personalization score.