Machine Learning System for Customer Utterance Intent Prediction

A computer system comprising:

• memory storing computer-executable instructions and
• a processor configured to execute the computer-executable instructions, wherein the computer-executable instructions include:
• obtaining a subset of utterances from among a first plurality of utterances;
• encoding, by a sentence encoder, the subset of utterances into a plurality of multi-dimensional vectors;
• generating a plurality of reduced-dimensionality vectors by reducing a dimensionality of the plurality of multi-dimensional vectors, wherein each vector from among the plurality of reduced-dimensionality vectors corresponds to a utterance from among the subset of utterances;
• performing clustering on the plurality of reduced-dimensionality vectors;
• based on the clustering performed on the reduced-dimensionality vectors, arranging the subset of utterances into a plurality of clusters;
• obtaining labels for a least two clusters from among the plurality of clusters;
• generating training data based on the obtained labels;
• and
• training a neural network model to predict an intent of an utterance based on the training data.