Deduplicating electronic survey questions utilizing machine-learning model domain classification

A system comprising:

• one or more non-transitory computer readable media comprising one or more machine-learning models;
• and
• at least one processor configured to cause the system to:
• determine, utilizing the one or more machine-learning models, a plurality of domain classifications for a plurality of electronic survey questions in one or more electronic surveys;
• determine, utilizing the one or more machine-learning models, semantic similarities of the plurality of electronic survey questions;
• determine, based on the semantic similarities of the plurality of electronic survey questions, a correspondence between a first electronic survey question of the one or more electronic surveys mapped to a domain classification and a second electronic survey question of the one or more electronic surveys mapped to the domain classification;
• responsive to a selection of an electronic survey of the one or more electronic surveys, modify the electronic survey based on the correspondence between the first electronic survey question and the second electronic survey question;
• and
• provide the modified electronic survey for display at a respondent client device.

A non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause the at least one processor to:

• determine, utilizing a classification machine-learning model, a plurality of domain classifications for a plurality of electronic survey questions in one or more electronic surveys;
• determine, utilizing a natural language processing model, semantic similarities of the plurality of electronic survey questions based on words or phrases in the plurality of electronic survey questions;
• determine, based on the semantic similarities of the plurality of electronic survey questions, a correspondence between a first electronic survey question of the one or more electronic surveys mapped to a domain classification and a second electronic survey question of the one or more electronic surveys mapped to the domain classification;
• responsive to a selection of an electronic survey of the one or more electronic surveys, modify the electronic survey based on the correspondence between the first electronic survey question and the second electronic survey question by excluding the second electronic survey question from the electronic survey;
• and
• provide the modified electronic survey for display at a respondent client device.