System and method for finetuning automated sentiment analysis

Abstract

A method and system for finetuning automated sentiment classification by at least one processor may include: receiving a first machine learning (ML) model M, pretrained to perform automated sentiment classification of utterances, based on a first annotated training dataset; associating one or more instances of model Mto one or more corresponding sites; and for one or more (e.g., each) ML model Minstance and/or site: receiving at least one utterance via the corresponding site; obtaining at least one data element of annotated feedback, corresponding to the at least one utterance; retraining the ML model M, to produce a second ML model M, based on a second annotated training dataset, wherein the second annotated training dataset may include the first annotated training dataset and the at least one annotated feedback data element; and using the second ML model M, to classify utterances according to one or more sentiment classes.