Patent ID: 11941082
Assignee: UL LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. A system for classifying product feedback, the system comprising:
a processor;
a memory storing data associated with a machine learning model;
a user interface; and
a non-transitory computer-readable memory coupled to the processor and the user interface, and storing instructions thereon that, when executed by the processor, cause the processor to:
generate the machine learning model using an initial dataset comprising a set of initial consumer feedback entries associated with a set of products, including classifying each initial consumer feedback entry of the set of initial consumer feedback entries as one of a first category or a second category,
access a consumer feedback entry associated with a product of the set of products, wherein the consumer feedback entry comprises an initial classification as one of the first category or the second category, and wherein the initial classification is either specified by a user who submitted the consumer feedback entry or by an external user who reviewed the consumer feedback entry,
apply the machine learning model to the consumer feedback entry to classify the consumer feedback entry as a subsequent classification,
determine that the subsequent classification is the other of the first category or the second category such that the initial classification specified by the user or the external user and the subsequent classification classified by the machine learning model are mismatched,
in response to determining that the subsequent classification is the other of the first category or the second category, cause the user interface to display an indication of the consumer feedback entry, the initial classification, and the subsequent classification,
receive, via the user interface, a selection to specify a final classification, of the first category and the second category, for the consumer feedback entry, and (ii) a comment entered into a comment box of the user interface and associated with the final classification, and
in response to receiving the selection and the comment:
classify the consumer feedback entry with the final classification, and
update the machine learning model to reflect the final classification of the consumer feedback entry.