Hybrid machine learning classifiers for user response statements

A system, comprising:

• one or more memories configured to store a question statement and a user response statement provided by a user in response to the question statement;
• and
• at least one processor each coupled to at least one of the memories and configured to perform operations comprising:
• generating a first data set based on the question statement and the user response statement stored in the memory;
• providing a set of target words to a supervised machine learning classifier, wherein a target word of the set of target words is determined by a language model for a cluster of prior user response statements generated by an unsupervised machine learning clustering classifier based on a second data set generated for a plurality of prior user response statements provided by a group of users to a set of prior question statements, wherein the plurality of prior user response statements is classified by the unsupervised machine learning clustering classifier into a plurality of clusters including the cluster of prior user response statements;
• and
• generating, by the supervised machine learning classifier, a set of labels selected from the set of target words for the user response statement represented by the first data set, wherein the set of labels includes a first label with a first probability and a second label with a second probability.

A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least a computing device, cause the computing device to perform operations comprising:

• generating a first data set based on a question statement and a user response statement provided by a user in response to the question statement;
• providing a set of target words to a supervised machine learning classifier, wherein a target word of the set of target words is determined by a language model for a cluster of prior user response statements generated by an unsupervised machine learning clustering classifier based on a second data set generated for a plurality of prior user response statements provided by a group of users to a set of prior question statements, wherein the plurality of prior user response statements is classified by the unsupervised machine learning clustering classifier into a plurality of clusters including the cluster of prior user response statements;
• and
• generating, by the supervised machine learning classifier, a set of labels selected from the set of target words for the user response statement represented by the first data set, wherein the set of labels includes a first label with a first probability and a second label with a second probability.